info     0  ended
) Data from Richard A. Johnson and Dean W. Wichern,
) Applied Multivariate Statistical Analysis, 5th Edition,
) Prentice Hall, 2002.
) The data sets were derived, with editing and correcting, from the
) files on the data CDROM that comes with the book.
) The data sets names are derived from the file names as follows.
)  Chapter numbers 1, 2 ,..., 9 were changed to 01, 02, ..., 09
)  Table, Example or Problem numbers 1, 2,...,9 were changed to
)  01, 02, ..., 09
)  Hyphen ('-') was changed to underscore ('_')
)  The "extension" .dat was dropped
)    File          Data set
)    P5-9.dat   -> P05_09       (Problem 9 in Chapter 5)
)    E9-14.dat  -> E09_14       (Example 14 in Chapter 9)
)    T12-12.dat -> T12_12       (Table 12 in Chapter 12)
)
) A few data sets have row and column labels, but most do not.
)
) It contains the following data sets:
)  P01_04    P05_09    T06_06    T07_01    T09_12    T11_08
)  T01_01    P05_11    T06_05_06 T07_02    E10_04    T11_08B
)  T01_02    T05_01    T06_07    T07_03    E10_05    T11_09
)  T01_03    T05_02    T06_08    T07_04    P10_08C   T12_01
)  T01_04    T05_08    T06_09    T07_05    P10_08E   T12_04
)  T01_05    T05_08A   T06_10    T07_06    P10_09    T12_05
)  T01_06    T05_09    T06_11    P08_23    P10_10    T12_06
)  T01_07    T05_11    T06_11A   E08_04    P10_12    T12_07
)  T01_08    T05_12    T06_12    T08_02    P10_16    T12_08
)  T01_09    P06_08    T06_13    T08_04    P10_17    T12_09
)  T01_10    P06_13    T06_14    T08_05    T11_01    T12_10
)  T03_01    P06_14    T06_15    T08_06    T11_02    T12_12
)  T04_01    T06_01    T06_16    P09_15    T11_04    T12_13
)  T04_03    T06_02    T06_17    E09_06    T11_05    T12_14
)  T04_05    T06_04    T06_18    E09_08    T11_06    T12_15
)  T04_01_05 T06_05    E07_10    E09_14    T11_07
)
) Among these, T04_01_05 (combination of Tables 4.1 and 4.1),
) T05_08A (combination of Table 5.8 and variable in problem 8.24),
) T06_05_06 (combination of Tables 6.5 and 6.6), and T06_11a
) (combination of tables 5.12 and 6.11) do not have equivalent
) separate files
)
) In MacAnova, these data sets may be read, for example, by 
)      Cmd> y <- matread("JWData5.txt","t07_02")
) or, if variable DATAFILE has been assigned "JWData5.txt" as value, by
)      Cmd> y <- getdata(t07_02) # no quotes used with getdata
) In Windowed versions you can set DATAFILE qppropriately by
)      Cmd> DATAFILE <- getfilename()
) and selecting "JWData5.txt" in the file navigation dialog box
)
) File version 030813 prepared by Christopher Bingham (kb@umn.edu)
%info%

P01_04    10    3 format
) Data from Problem 1.4 in Chapter 1 p. 39 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P1-4.DAT on disk from book
) Source: Fortune, 121 (April 23, 1990, 346-367)
) Data on 10 largest U.S. industrial corporations
) Col. 0: Corporation name (skipped by format)
) Col. 1: x1 = sales (millions of dollars)
) Col. 2: x2 = profits (millions of dollars)
) Col. 3: x3 = assests (millions of dollars)
)"16x%f %f %f"
(16x,f8.0,f6.0,f8.0)
General_Motors    126974  4224  173297
Ford               96933  3835  160893
Exxon              86656  3510   83219
IBM                63438  3758   77734
General_Electric   55264  3939  128344
Mobil              50976  1809   39080
Philip_Morris      39069  2946   38528
Chrysler           36156   359   51038
Du_Pont            35209  2480   34715
Texaco             32416  2413   25636

T01_01    6    2 formatted
) Data from Table 1.1 p. 14 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-1.DAT on disk from book
) 1977 salary and final record for the National League East
) Col. 0: Team (skipped by format)
) Col. 1: x1 = player payroll
) Col. 2: x2 = won-lost percentage
)"9x %f %f"
(9x,f8.0,f7.3)
Phillies  3497900  0.623
Pirates   2485475  0.593
Cardinals 1782875  0.512
Cubs      1725450  0.500
Expos     1645575  0.463
Mets      1469800  0.395

T01_02    41    3 format
) Data from Table 1.2, p. 15 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-2.DAT on disk from book
) Paper quality measurements (omitting specimen number)
) Col. 1: Density
) Col. 2: Machine direction strength
) Col. 3: Cross direction strength
)"%lf %lf %lf"
(f6.3,f7.2,f6.2)
 0.801 121.41 70.42
 0.824 127.70 72.47
 0.841 129.20 78.20
 0.816 131.80 74.89
 0.840 135.10 71.21
 0.842 131.50 78.39
 0.820 126.70 69.02
 0.802 115.10 73.10
 0.828 130.80 79.28
 0.819 124.60 76.48
 0.826 118.31 70.25
 0.802 114.20 72.88
 0.810 120.30 68.23
 0.802 115.70 68.12
 0.832 117.51 71.62
 0.796 109.81 53.10
 0.759 109.10 50.85
 0.770 115.10 51.68
 0.759 118.31 50.60
 0.772 112.60 53.51
 0.806 116.20 56.53
 0.803 118.00 70.70
 0.845 131.00 74.35
 0.822 125.70 68.29
 0.971 126.10 72.10
 0.816 125.80 70.64
 0.836 125.50 76.33
 0.815 127.80 76.75
 0.822 130.50 80.33
 0.822 127.90 75.68
 0.843 123.90 78.54
 0.824 124.10 71.91
 0.788 120.80 68.22
 0.782 107.40 54.42
 0.795 120.70 70.41
 0.805 121.91 73.68
 0.836 122.31 74.93
 0.788 110.60 53.52
 0.772 103.51 48.93
 0.776 110.71 53.67
 0.758 113.80 52.42

T01_03    25    3  format
) Data from Table 1.3 p. 17 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-3.DAT on disk from book
) Lizard size data
) Col. 1: mass = mass (g)
) Col. 2: svl = snout vent length (mm)
) Col. 3: hls = hind limb span (mm)
)"%lf %lf %lf"
(f7.6,2f8.6)
  5.526    59.0   113.5
 10.401    75.0   142.0
  9.213    69.0   124.0
  8.953    67.5   125.0
  7.063    62.0   129.5
  6.610    62.0   123.0
 11.273    74.0   140.0
  2.447    47.0    97.0
 15.493    86.5   162.0
  9.004    69.0   126.5
  8.199    70.5   136.0
  6.601    64.5   116.0
  7.622    67.5   135.0
 10.067    73.0   136.5
 10.091    73.0   135.5
 10.888    77.0   139.0
  7.610    61.5   118.0
  7.733    66.5   133.5
 12.015    79.5   150.0
 10.049    74.0   137.0
  5.149    59.5   116.0
  9.158    68.0   123.0
 12.132    75.0   141.0
  6.978    66.5   117.0
  6.890    63.0   117.0

T01_04     7    8 format
) Data from Table 1.4 p. 25 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-4.DAT on disk from book
) Female bear data
) Col. 1: Wt2 = Weight at 2 years (kg)
) Col. 2: Wt3 = Weight at 3 years (kg)
) Col. 3: Wt4 = Weight at 4 years (kg)
) Col. 4: Wt5 = Weight at 5 years (kg)
) Col. 5: lngth2 = Length at 2 years (cm)
) Col. 6: lngth3 = Length at 3 years (cm)
) Col. 7: lngth4 = Length at 4 years (cm)
) Col. 8: lngth5 = Length at 5 years (cm)
)"%lf %lf %lf %lf %lf %lf %lf %lf"
(f4.0,7f5.0)
  48   59   95   82  141  157  168  183
  59   68  102  102  140  168  174  170
  61   77   93  107  145  162  172  177
  54   43  104  104  146  159  176  171
 100  145  185  247  150  158  168  175
  68   82   95  118  142  140  178  189
  68   95  109  111  139  171  176  175

T01_05    42    7  format
) Data from Table 1.5 p. 40 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-5.DAT on disk from book
) Data were in Edition 4 Table 1.3
) Air-pollution data
) Col. 1: x1 = Wind
) Col. 2: x2 = Solar radiation
) Col. 3: x3 = CO
) Col. 4: x4 = NO
) Col. 5: x5 = NO2
) Col. 6: x6 = O3
) Col. 7: x7 = HC
)"%lf %lf %lf %lf %lf %lf %lf"
(f3.0,f4.0,2f2.0,2f3.0,f2.0)
  8  98 7 2 12  8 2
  7 107 4 3  9  5 3
  7 103 4 3  5  6 3
 10  88 5 2  8 15 4
  6  91 4 2  8 10 3
  8  90 5 2 12 12 4
  9  84 7 4 12 15 5
  5  72 6 4 21 14 4
  7  82 5 1 11 11 3
  8  64 5 2 13  9 4
  6  71 5 4 10  3 3
  6  91 4 2 12  7 3
  7  72 7 4 18 10 3
 10  70 4 2 11  7 3
 10  72 4 1  8 10 3
  9  77 4 1  9 10 3
  8  76 4 1  7  7 3
  8  71 5 3 16  4 4
  9  67 4 2 13  2 3
  9  69 3 3  9  5 3
 10  62 5 3 14  4 4
  9  88 4 2  7  6 3
  8  80 4 2 13 11 4
  5  30 3 3  5  2 3
  6  83 5 1 10 23 4
  8  84 3 2  7  6 3
  6  78 4 2 11 11 3
  8  79 2 1  7 10 3
  6  62 4 3  9  8 3
 10  37 3 1  7  2 3
  8  71 4 1 10  7 3
  7  52 4 1 12  8 4
  5  48 6 5  8  4 3
  6  75 4 1 10 24 3
 10  35 4 1  6  9 2
  8  85 4 1  9 10 2
  5  86 3 1  6 12 2
  5  86 7 2 13 18 2
  7  79 7 4  9 25 3
  7  79 5 2  8  6 2
  6  68 6 2 11 14 3
  8  40 4 3  6  5 2

T01_06    98    6 format
) Data from Table 1.6 p. 42 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-6.DAT on disk from book
) by making making column 1 be group number (1 or 2) and removing
) last column which was group coded as 0 or 1.
)
) Multple-Sclerosis data derived from evoked responses to visual
) stimuli recorded from the scalp of a subject.  Two different visual
) stimuli S1 and S2 produced responses in the left (L) and right (R)
) eyes of subjects, some of whom had multiple sclerosis (MS).
) Col. 1: Group number, 1 = Non-MS group, 2 = MS group
) Col. 2: x1 = Age of subject
) Col. 3: x2 = S1L + S1R (Sum of left and right responses to stimulus S1)
) Col. 4: x3 = abs(S1L - S1R)
) Col. 5: x4 = S2L + S2R
) Col. 6: x5 = abs(S2L - S2R)
)"%lf %lf %lf %lf %lf %lf"
(f1.0,f3.0,f6.1,f5.1,f6.1,f5.1)
1 18 152.0  1.6 198.4  0.0
1 19 138.0  0.4 180.8  1.6
1 20 144.0  0.0 186.4  0.8
1 20 143.6  3.2 194.8  0.0
1 20 148.8  0.0 217.6  0.0
1 21 141.6  0.8 181.6  0.8
1 21 136.0  1.6 180.0  0.8
1 21 137.6  1.6 185.6  3.2
1 22 140.4  3.2 182.0  3.2
1 22 137.2  0.0 181.8  0.2
1 22 125.4  1.0 169.2  0.0
1 22 142.4  4.8 185.6  0.0
1 22 150.4  0.0 214.4  3.2
1 22 145.6  1.6 203.6  5.2
1 23 147.2  3.2 196.8  1.6
1 23 139.2  1.6 179.2  0.0
1 24 169.6  0.0 204.8  0.0
1 24 139.2  1.6 176.0  3.2
1 24 153.6  0.0 212.0  0.8
1 25 146.8  0.0 194.8  3.2
1 25 139.2  1.6 198.4  3.2
1 25 136.0  1.6 181.6  2.4
1 26 138.8  1.6 191.6  0.0
1 26 150.4  0.0 205.2  0.4
1 26 139.0  1.4 178.6  0.2
1 27 133.8  0.2 180.8  0.0
1 27 139.0  1.8 190.4  1.6
1 28 136.0  1.6 193.2  3.6
1 28 146.4  0.8 195.6  2.8
1 29 145.2  4.8 194.2  3.8
1 29 146.4  0.8 208.2  0.2
1 29 138.0  2.8 181.2  0.4
1 30 148.8  1.6 196.4  1.6
1 31 137.2  0.0 184.0  0.0
1 31 147.2  0.0 197.6  0.8
1 32 144.0  0.0 185.8  0.2
1 32 156.0  0.0 192.8  2.4
1 34 137.0  0.2 182.4  0.0
1 35 143.2  2.4 184.0  1.6
1 36 141.6  0.8 187.2  1.6
1 37 152.0  1.6 189.2  2.8
1 39 157.4  3.4 227.0  2.6
1 40 141.4  0.6 209.2  1.6
1 42 156.0  2.4 195.2  3.2
1 43 150.4  1.6 180.0  0.8
1 43 142.4  1.6 188.8  0.0
1 46 158.0  2.0 192.0  3.2
1 48 130.0  3.6 190.0  0.4
1 49 152.2  1.4 200.0  4.8
1 49 150.0  3.2 206.6  2.2
1 50 146.4  2.4 191.6  2.8
1 54 146.0  1.2 203.2  1.6
1 55 140.8  0.0 184.0  1.6
1 56 140.4  0.4 203.2  1.6
1 56 155.8  3.0 187.8  2.6
1 56 141.6  0.8 196.8  1.6
1 57 144.8  0.8 188.0  0.8
1 57 146.8  3.2 191.6  0.0
1 59 176.8  2.4 232.8  0.8
1 60 171.0  1.8 202.0  3.6
1 60 163.2  0.0 224.0  0.0
1 60 171.6  1.2 213.8  3.4
1 60 146.4  4.0 203.2  4.8
1 62 146.8  3.6 201.6  3.2
1 67 154.4  2.4 205.2  6.0
1 69 171.2  1.6 210.4  0.8
1 73 157.2  0.4 204.8  0.0
1 74 175.2  5.6 235.6  0.4
1 79 155.0  1.4 204.4  0.0
2 23 148.0  0.8 205.4  0.6
2 25 195.2  3.2 262.8  0.4
2 25 158.0  8.0 209.8 12.2
2 28 134.4  0.0 198.4  3.2
2 29 190.2 14.2 243.8 10.6
2 29 160.4 18.4 222.8 31.2
2 31 227.8 90.2 270.2 83.0
2 34 211.0  3.0 250.8  5.2
2 35 204.8 12.8 254.4 11.2
2 36 141.2  6.8 194.4 21.6
2 39 157.4  3.4 227.0  2.6
2 42 166.4  0.0 226.0  0.0
2 43 191.8 35.4 243.6 40.8
2 44 156.8  0.0 203.2  0.0
2 44 202.8 29.2 246.4 24.8
2 44 165.2 18.4 254.0 46.4
2 45 162.0  5.6 224.4  8.8
2 45 138.4  0.8 176.8  4.0
2 45 158.4  1.6 214.4  0.0
2 46 155.4  1.8 201.2  6.0
2 46 214.8  9.2 290.6  0.6
2 47 185.0 19.0 274.4  7.6
2 48 236.0 20.0 328.0  0.0
2 57 170.8 24.0 228.4 33.6
2 57 165.6 16.8 229.2 15.6
2 58 238.4  8.0 304.4  6.0
2 58 164.0  0.8 216.8  0.8
2 58 169.8  0.0 219.2  1.6
2 59 199.8  4.6 250.2  1.0

T01_07    98    6 format
) Data from Table 1.7 p. 43 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-7.DAT on disk from book
) Radiotherapy data
) Average ratings over the course of treatment for patients undergoing
) radiotherapy.
) Col. 1: x1 = number of symptoms
) Col. 2: x2 = amount of activity (1-5 scale)
) Col. 3: x3 = amount of sleep (1-5 scale)
) Col. 4: x4 = amount of food consumed (1-3 scale)
) Col. 5: x5 = appetite (1-5 scale)
) Col. 6: x6 = skin reaction (0, 1, 2 or 3) 
) Note from book: Rows containing values of x2 and x3 < 1.0
)                 may be omitted
)"%lf %lf %lf %lf %lf %lf"
(5f6.3,f2.0)
 0.889 1.389 1.555 2.222 1.945 1
 2.813 1.437 0.999 2.312 2.312 2
 1.454 1.091 2.364 2.455 2.909 3
 0.294 0.941 1.059 2.000 1.000 1
 2.727 2.545 2.819 2.727 4.091 0
 3.937 1.250 1.937 2.937 3.749 1
 2.786 1.714 2.357 2.071 2.000 2
 5.231 2.692 1.077 1.846 2.539 1
 1.150 1.100 0.950 2.000 1.000 1
 6.500 2.562 1.749 2.562 2.499 1
 0.800 1.000 2.200 2.267 2.466 2
 4.600 2.000 3.000 2.500 3.400 1
 3.500 1.286 2.714 1.286 1.252 3
 3.444 2.556 2.388 2.389 3.000 1
 4.071 1.000 1.000 2.357 1.572 1
 3.692 1.000 2.538 2.154 2.615 1
 5.167 3.000 1.000 2.667 3.666 0
 0.500 1.000 1.000 2.000 1.000 0
 2.385 1.923 2.539 2.154 2.461 1
 2.100 1.300 1.300 1.800 2.600 1
 5.000 3.250 3.125 2.375 3.375 0
 4.571 1.214 3.286 2.571 3.572 1
 2.733 1.133 2.600 1.933 1.667 1
 4.235 2.294 2.706 2.176 1.883 1
 0.000 1.000 1.941 2.000 2.000 0
 0.750 1.125 3.000 1.875 2.000 3
 3.077 1.462 2.384 2.000 1.846 2
 1.600 1.200 2.950 2.000 2.750 1
 6.273 3.636 1.182 2.545 3.364 0
 2.625 1.000 2.438 1.937 2.062 2
 1.250 1.000 2.000 2.000 3.000 1
 2.437 2.062 1.687 1.875 1.375 1
 4.454 1.727 2.637 2.636 3.546 1
 0.133 1.000 1.000 2.000 1.000 0
 0.222 1.222 1.445 2.000 1.000 1
 2.467 2.667 2.200 1.933 1.800 3
 4.000 1.000 4.000 2.167 2.500 0
 5.385 3.154 2.384 2.846 2.539 1
 0.773 1.000 2.273 1.909 2.091 0
 3.786 2.000 1.571 1.786 1.285 3
 1.923 1.615 1.693 2.000 1.846 1
 1.000 1.333 1.834 2.000 1.917 1
 5.800 2.600 3.000 2.800 4.200 1
 6.062 1.000 1.562 2.375 1.750 0
 3.706 1.235 1.530 2.118 2.294 1
 2.444 2.333 1.223 2.444 1.776 3
 6.111 2.222 2.889 2.889 3.555 2
 2.533 1.067 1.600 2.000 1.333 1
 2.167 1.000 2.167 2.000 2.500 1
 2.375 1.062 2.375 2.000 2.125 3
 1.875 1.312 2.188 2.125 2.062 2
 1.750 1.333 1.167 1.750 1.000 1
 7.333 1.333 1.459 1.958 1.542 3
 5.250 1.375 2.812 2.125 2.563 3
 5.182 2.000 2.727 2.818 4.000 2
 1.875 2.000 2.250 2.813 2.437 2
 5.400 2.000 1.200 1.800 1.400 2
 1.154 1.000 1.923 1.846 2.462 1
 6.375 2.250 2.500 2.125 3.000 1
 9.454 2.727 3.818 2.455 3.272 3
 1.000 1.000 1.917 1.833 2.167 1
 1.444 1.111 2.000 2.111 2.000 1
 1.800 1.100 3.100 2.200 2.600 1
 2.818 2.000 1.955 2.045 2.546 2
10.461 2.154 2.769 2.000 2.923 0
 4.143 1.929 2.642 2.429 3.142 3
 1.227 1.182 1.091 2.227 3.182 1
 5.667 3.000 1.667 2.667 5.000 1
 4.111 2.556 2.222 2.778 3.778 1
 4.444 1.667 2.222 2.000 2.444 0
 3.714 3.857 2.643 2.286 3.285 0
 7.400 3.700 3.100 2.500 4.200 1
 3.182 2.455 1.636 2.273 3.000 1
 5.200 2.600 0.800 1.800 2.000 0
 2.333 1.667 0.666 1.667 2.166 0
 3.333 1.917 2.083 1.917 3.000 1
 5.250 2.750 2.500 2.000 4.000 0
 7.714 4.000 3.071 2.929 4.428 3
 3.846 2.615 3.000 2.692 3.693 2
 2.444 1.111 1.000 2.111 1.667 2
 5.333 1.917 3.000 2.250 1.917 1
 1.556 1.778 3.444 2.667 3.333 1
 3.182 1.545 1.910 2.273 3.000 1
 6.222 2.444 3.689 2.444 3.445 1
 7.231 1.000 3.154 2.308 4.384 2
 3.857 1.071 3.000 2.071 2.286 1
 3.778 1.944 1.612 1.611 1.945 1
 6.000 1.400 2.067 2.267 2.866 2
 2.333 3.583 2.334 2.333 2.667 2
 7.571 2.143 3.143 2.571 3.929 1
 3.667 2.000 2.111 2.778 4.000 3
 3.600 2.933 2.067 2.200 2.867 0
 3.364 1.273 1.810 2.000 2.273 0
 4.100 1.900 2.800 2.000 2.600 2
 0.125 1.062 1.437 1.875 1.563 0
 6.231 2.769 1.462 2.385 4.000 2
 3.000 1.455 2.090 2.273 3.272 2
 0.889 1.000 1.000 2.000 1.000 2

T01_08    25    6 format
) Data from Table 1.8 p. 44 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-8.DAT on disk from book
) Mineral content in bones.
) Mineral content of 6 bones of older women
) Col. 1: Dominant radius
) Col. 2: Non-dominant radius
) Col. 3: Dominant humerus
) Col. 4: Non-dominant humerus
) Col. 5: Dominant ulna
) Col. 6: Non-dominant ulna
)"%lf %lf %lf %lf %lf %lf"
(6f6.3)
 1.103 1.052 2.139 2.238 0.873 0.872
 0.842 0.859 1.873 1.741 0.590 0.744
 0.925 0.873 1.887 1.809 0.767 0.713
 0.857 0.744 1.739 1.547 0.706 0.674
 0.795 0.809 1.734 1.715 0.549 0.654
 0.787 0.779 1.509 1.474 0.782 0.571
 0.933 0.880 1.695 1.656 0.737 0.803
 0.799 0.851 1.740 1.777 0.618 0.682
 0.945 0.876 1.811 1.759 0.853 0.777
 0.921 0.906 1.954 2.009 0.823 0.765
 0.792 0.825 1.624 1.657 0.686 0.668
 0.815 0.751 2.204 1.846 0.678 0.546
 0.755 0.724 1.508 1.458 0.662 0.595
 0.880 0.866 1.786 1.811 0.810 0.819
 0.900 0.838 1.902 1.606 0.723 0.677
 0.764 0.757 1.743 1.794 0.586 0.541
 0.733 0.748 1.863 1.869 0.672 0.752
 0.932 0.898 2.028 2.032 0.836 0.805
 0.856 0.786 1.390 1.324 0.578 0.610
 0.890 0.950 2.187 2.087 0.758 0.718
 0.688 0.532 1.650 1.378 0.533 0.482
 0.940 0.850 2.334 2.225 0.757 0.731
 0.493 0.616 1.037 1.268 0.546 0.615
 0.835 0.752 1.509 1.422 0.618 0.664
 0.915 0.936 1.971 1.869 0.869 0.868

T01_09    55    7 format
) Data from Table 1.9 p. 45-46 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-9.DAT on disk from book
) National track records for women
) Col. 1: 100 m (sec)
) Col. 2: 200 m (sec)
) Col. 3: 400 m (sec)
) Col. 4: 800 m (min)
) Col. 5: 1500 m (min)
) Col. 6: 3000 m (min)
) Col. 7: Marathon (min)
) Col. 8: Country (skipped by format)
)"%lf %lf %lf %lf %lf %lf %lf"
(f6.2,2f7.2,2f6.2,f7.2,f8.2,15x)
 11.61  22.94  54.50  2.15  4.43   9.79  178.52 Argentina
 11.20  22.35  51.08  1.98  4.13   9.08  152.37 Australia
 11.43  23.09  50.62  1.99  4.22   9.34  159.37 Austria
 11.41  23.04  52.00  2.00  4.14   8.88  157.85 Belgium
 11.46  23.05  53.30  2.16  4.58   9.81  169.98 Bermuda
 11.31  23.17  52.80  2.10  4.49   9.77  168.75 Brazil
 12.14  24.47  55.00  2.18  4.45   9.51  191.02 Burma
 11.00  22.25  50.06  2.00  4.06   8.81  149.45 Canada
 12.00  24.52  54.90  2.05  4.23   9.37  171.38 Chile
 11.95  24.41  54.97  2.08  4.33   9.31  168.48 China
 11.60  24.00  53.26  2.11  4.35   9.46  165.42 Columbia
 12.90  27.10  60.40  2.30  4.84  11.10  233.22 CookIs
 11.96  24.60  58.25  2.21  4.68  10.43  171.80 Costa_Rica
 11.09  21.97  47.99  1.89  4.14   8.92  158.85 Czech
 11.42  23.52  53.60  2.03  4.18   8.71  151.75 Denmark
 11.79  24.05  56.05  2.24  4.74   9.89  203.88 DomRep
 11.13  22.39  50.14  2.03  4.10   8.92  154.23 Finland
 11.15  22.59  51.73  2.00  4.14   8.98  155.27 France
 10.81  21.71  48.16  1.93  3.96   8.75  157.68 Gdr
 11.01  22.39  49.75  1.95  4.03   8.59  148.53 Frg
 11.00  22.13  50.46  1.98  4.03   8.62  149.72 GB_NI
 11.79  24.08  54.93  2.07  4.35   9.87  182.20 Greece
 11.84  24.54  56.09  2.28  4.86  10.54  215.08 Guatemala
 11.45  23.06  51.50  2.01  4.14   8.98  156.37 Hungary
 11.95  24.28  53.60  2.10  4.32   9.98  188.03 India
 11.85  24.24  55.34  2.22  4.61  10.02  201.28 Indonesia
 11.43  23.51  53.24  2.05  4.11   8.89  149.38 Ireland
 11.45  23.57  54.90  2.10  4.25   9.37  160.48 Israel
 11.29  23.00  52.01  1.96  3.98   8.63  151.82 Italy
 11.73  24.00  53.73  2.09  4.35   9.20  150.50 Japan
 11.73  23.88  52.70  2.00  4.15   9.20  181.05 Kenya
 11.96  24.49  55.70  2.15  4.42   9.62  164.65 Korea
 12.25  25.78  51.20  1.97  4.25   9.35  179.17 DPRKorea
 12.03  24.96  56.10  2.07  4.38   9.64  174.68 Luxemboug
 12.23  24.21  55.09  2.19  4.69  10.46  182.17 Malaysia
 11.76  25.08  58.10  2.27  4.79  10.90  261.13 Mauritius
 11.89  23.62  53.76  2.04  4.25   9.59  158.53 Mexico
 11.25  22.81  52.38  1.99  4.06   9.01  152.48 Netherlands
 11.55  23.13  51.60  2.02  4.18   8.76  145.48 NZ
 11.58  23.31  53.12  2.03  4.01   8.53  145.48 Norway
 12.25  25.07  56.96  2.24  4.84  10.69  233.00 PNG
 11.76  23.54  54.60  2.19  4.60  10.16  200.37 Philippines
 11.13  22.21  49.29  1.95  3.99   8.97  160.82 Poland
 11.81  24.22  54.30  2.09  4.16   8.84  151.20 Portugal
 11.44  23.46  51.20  1.92  3.96   8.53  165.45 Rumania
 12.30  25.00  55.08  2.12  4.52   9.94  182.77 Singapore
 11.80  23.98  53.59  2.05  4.14   9.02  162.60 Spain
 11.16  22.82  51.79  2.02  4.12   8.84  154.48 Sweden
 11.45  23.31  53.11  2.02  4.07   8.77  153.42 Switzerland
 11.22  22.62  52.50  2.10  4.38   9.63  177.87 Taipei
 11.75  24.46  55.80  2.20  4.72  10.28  168.45 Thailand
 11.98  24.44  56.45  2.15  4.37   9.38  201.08 Turkey
 10.79  21.83  50.62  1.96  3.95   8.50  142.72 USA
 11.06  22.19  49.19  1.89  3.87   8.45  151.22 USSR
 12.74  25.85  58.73  2.33  5.81  13.04  306.00 WSamoa

T01_10    76    9 format
) Data from Table 1.10 p. 47 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T1-10.DAT on disk from book
) Data on bulls
) Col. 1: Breed (1 = Angus, 5 = Hereford, 8 = Simental)
) Col. 2: SalePr = selling price ($)
) Col. 3: YrHgt = yearling height at shoulder (in)
) Col. 4: FtFrBody = fat free body wt (lbs)
) Col. 5: PrctFFB = percent fat-free body weight (%)
) Col. 6: Frame = size scale (1 = small to 8 = large)
) Col. 7: BkFat = back fat (in)
) Col. 8: SaleHt = sale height at shoulder (in)
) Col. 9: SaleWt = sale weight (lbs)
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf"
(f2.0,f5.0,f5.1,f5.0,f4.1,f2.0,f5.2,f6.1,f5.0)
 1 2200 51.0 1128 70.9 7 0.25 54.8 1720
 1 2250 51.9 1108 72.1 7 0.25 55.3 1575
 1 1625 49.9 1011 71.6 6 0.15 53.1 1410
 1 4600 53.1  993 68.9 8 0.35 56.4 1595
 1 2150 51.2  996 68.6 7 0.25 55.0 1488
 1 1225 49.2  985 71.4 6 0.15 51.4 1500
 1 2250 51.0  959 72.1 7 0.20 54.0 1522
 1 4000 51.5 1060 69.3 7 0.30 55.6 1765
 1 1600 50.1  979 71.2 6 0.25 51.5 1365
 1 1525 49.6 1083 75.8 6 0.30 54.6 1640
 1 1850 50.6 1036 69.2 6 0.15 54.8 1570
 1 2850 51.1  870 70.9 7 0.15 52.9 1450
 1 2650 51.1  998 65.5 7 0.40 54.6 1505
 1 1550 50.2  973 69.5 6 0.40 53.0 1530
 1 2000 49.0  893 73.9 6 0.20 51.9 1470
 1 2300 49.6  975 68.2 6 0.50 52.9 1842
 1 1900 49.1  997 67.9 6 0.30 54.0 1500
 1 1400 48.4  946 68.6 5 0.20 51.2 1480
 1 1650 50.9  928 67.2 6 0.25 54.1 1480
 1 1500 49.5  963 69.4 6 0.35 53.1 1670
 1 1375 49.2  911 67.4 6 0.20 53.4 1490
 1 1500 48.1 1003 70.5 5 0.25 54.7 1748
 1 2400 51.1  915 64.9 7 0.25 54.6 1725
 1 1425 48.9  924 72.7 5 0.15 52.1 1374
 1 1525 49.4  959 68.4 6 0.15 52.6 1565
 1 1800 47.7  944 66.5 5 0.40 53.3 1556
 1 2500 50.6  897 67.2 6 0.30 54.9 1688
 1 1600 48.9  974 71.0 5 0.30 54.2 1722
 1 1300 49.9  872 70.7 6 0.20 53.3 1325
 1 1400 48.4  841 71.3 5 0.15 51.5 1365
 1 1300 48.6  920 71.4 5 0.15 52.9 1450
 1 1400 47.6  974 69.7 5 0.15 51.9 1570
 5 2000 50.5 1002 68.8 6 0.20 54.4 1735
 5 1300 50.2  998 68.7 6 0.15 52.9 1540
 5 1300 49.0 1015 69.8 6 0.30 51.9 1550
 5 1300 48.7 1056 72.9 5 0.15 52.6 1525
 5 1500 49.6  984 71.4 6 0.15 53.4 1650
 5 1225 48.9  934 66.0 5 0.20 52.1 1430
 5 2750 49.7  929 66.9 6 0.25 53.3 1688
 5 1500 49.9  919 67.1 6 0.20 54.3 1425
 5 1325 47.8  931 67.1 5 0.25 51.5 1520
 5 1800 49.6  952 69.4 6 0.25 52.3 1512
 5 1375 51.0 1002 72.1 7 0.25 51.9 1410
 5  975 48.6  936 65.3 5 0.35 51.4 1550
 5 1325 48.3  870 65.6 5 0.30 52.5 1588
 5 1850 50.1  853 67.9 6 0.15 52.9 1390
 5 1025 48.8  843 67.3 5 0.20 50.4 1390
 5 1000 47.7  913 68.2 5 0.15 49.4 1345
 5  975 47.2  844 70.6 5 0.15 50.1 1285
 8 1750 54.0 1252 76.5 8 0.15 56.9 1648
 8 1450 53.3 1383 81.4 8 0.20 59.6 1904
 8 1200 52.8 1076 74.0 7 0.15 55.5 1615
 8 2000 53.5 1175 74.5 8 0.10 57.4 1686
 8 1450 53.2 1027 71.2 8 0.10 56.9 1696
 8 1800 52.3 1116 71.1 7 0.10 57.5 1620
 8 1525 51.8 1095 71.1 7 0.15 54.6 1712
 8 1925 52.7 1141 78.5 7 0.15 55.6 1572
 8 3450 54.8 1039 70.6 8 0.10 58.7 1600
 8 1650 52.8  981 74.1 7 0.10 56.9 1750
 8 1900 52.4  933 71.5 7 0.10 56.2 1640
 8 1850 51.2 1083 74.5 7 0.20 55.9 1752
 8 1550 52.3 1143 77.7 7 0.10 56.1 1785
 8 1825 53.0 1055 76.8 8 0.10 56.7 1526
 8 1475 52.9 1037 75.0 7 0.10 55.5 1406
 8 2200 51.8 1076 74.5 7 0.15 55.8 1475
 8 1850 53.1  964 70.8 8 0.10 55.5 1535
 8 1550 51.2 1057 74.8 7 0.10 55.5 1520
 8 1250 50.8 1040 74.5 6 0.10 55.8 1516
 8 1350 52.7 1079 75.5 7 0.15 56.1 1595
 8 1725 51.4 1034 71.2 7 0.10 56.0 1655
 8 1750 50.7 1012 71.6 6 0.10 54.3 1480
 8 1450 51.4  997 73.4 7 0.10 55.2 1454
 8 1200 49.8  991 70.8 6 0.15 54.6 1475
 8 1425 50.0  928 70.8 6 0.10 53.9 1375
 8 1250 50.1  990 71.0 6 0.10 54.9 1564
 8 1500 51.7  992 70.6 7 0.15 55.1 1458

T03_01    6    2 format
) Data from Table 3.1 p. 121 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T3-1.DAT on disk from book
) Solid waste
) Col. 0: Year (1960 - 1985, skipped by format)
) Col. 1: x1 = paper (million tons)
) Col. 2: x2 = plastics (million tons)
)"4x %f %f"
(4x,f5.1,f4.1)
1960 29.8 0.4
1965 37.9 1.4
1970 43.9 3.0
1975 42.6 4.4
1980 53.9 7.6
1985 61.7 9.8

T04_01    42  format
) Data from Table 4.1 p. 181 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T4-1.DAT on disk from book
) Radiation data (door closed)
) Col. 1: Radiation emitted through closed doors of 42 ovens
)"%lf"
(f5.2)
 0.15
 0.09
 0.18
 0.10
 0.05
 0.12
 0.08
 0.05
 0.08
 0.10
 0.07
 0.02
 0.01
 0.10
 0.10
 0.10
 0.02
 0.10
 0.01
 0.40
 0.10
 0.05
 0.03
 0.05
 0.15
 0.10
 0.15
 0.09
 0.08
 0.18
 0.10
 0.20
 0.11
 0.30
 0.02
 0.20
 0.20
 0.30
 0.30
 0.40
 0.30
 0.05

T04_03    30    4 format
) Data from Table 4.3 p. 187 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T4-3.DAT on disk from book
) Omitted was the last column (d^2) as this can be computed directly
) using distcomp(T04_03)
) Four measurements of stiffness
) Col. 1: x1 (from shock wave down board)
) Col. 2: x2 (from vibrating board)
) Col. 3: x3 (from static test)
) Col. 4: x4 (from static test)
)"%lf %lf %lf %lf"
(4f5.0)
 1889 1651 1561 1778
 2403 2048 2087 2197
 2119 1700 1815 2222
 1645 1627 1110 1533
 1976 1916 1614 1883
 1712 1712 1439 1546
 1943 1685 1271 1671
 2104 1820 1717 1874
 2983 2794 2412 2581
 1745 1600 1384 1508
 1710 1591 1518 1667
 2046 1907 1627 1898
 1840 1841 1595 1741
 1867 1685 1493 1678
 1859 1649 1389 1714
 1954 2149 1180 1281
 1325 1170 1002 1176
 1419 1371 1252 1308
 1828 1634 1602 1755
 1725 1594 1313 1646
 2276 2189 1547 2111
 1899 1614 1422 1477
 1633 1513 1290 1516
 2061 1867 1646 2037
 1856 1493 1356 1533
 1727 1412 1238 1469
 2168 1896 1701 1834
 1655 1675 1414 1597
 2326 2301 2065 2234
 1490 1382 1214 1284

T04_05    42 format
) Data from Table 4.5 p. 200 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T4-5.DAT on disk from book
) Radiation data (door open)
) Col. 1: Radiation emitted through open doors of 42 ovens
)"%lf"
(f5.2)
 0.30
 0.09
 0.30
 0.10
 0.10
 0.12
 0.09
 0.10
 0.09
 0.10
 0.07
 0.05
 0.01
 0.45
 0.12
 0.20
 0.04
 0.10
 0.01
 0.60
 0.12
 0.10
 0.05
 0.05
 0.15
 0.30
 0.15
 0.09
 0.09
 0.28
 0.10
 0.10
 0.10
 0.30
 0.12
 0.25
 0.20
 0.40
 0.33
 0.32
 0.12
 0.12

T04_01_05     42     2 format
) Combined data from Tables 4.1 (p. 181) and 4.5 p. 200 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from files T4-1.DAT and T4-5.DAT on
) disk from book
) Radiation data
) Col. 1: Radiation emitted through closed doors of oven
) Col. 2: Radiation emitted through open doors of oven
)"%lf %lf"
(f5.2,f6.2)
 0.15  0.30
 0.09  0.09
 0.18  0.30
 0.10  0.10
 0.05  0.10
 0.12  0.12
 0.08  0.09
 0.05  0.10
 0.08  0.09
 0.10  0.10
 0.07  0.07
 0.02  0.05
 0.01  0.01
 0.10  0.45
 0.10  0.12
 0.10  0.20
 0.02  0.04
 0.10  0.10
 0.01  0.01
 0.40  0.60
 0.10  0.12
 0.05  0.10
 0.03  0.05
 0.05  0.05
 0.15  0.15
 0.10  0.30
 0.15  0.15
 0.09  0.09
 0.08  0.09
 0.18  0.28
 0.10  0.10
 0.20  0.10
 0.11  0.10
 0.30  0.30
 0.02  0.12
 0.20  0.25
 0.20  0.20
 0.30  0.40
 0.30  0.33
 0.40  0.32
 0.30  0.12
 0.05  0.12

P05_09     2  STRUC
) Data from Problem 9 in Chapter 5 p. 261-262 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P5-9.DAT on disk from book
)
) The data set is a structure with two components, 'mean' and 'covar'
) containing, respectively, the sample mean and sample covariance
) matrix of 6 measurements on 61 Alaskan bears.
) The data set is the same as P08_23
) Variable 1: Weight (kg)
) Variable 2: Body length (cm)
) Variable 3: Neck (cm)
) Variable 4: Girth (cm)
) Variable 5: Head length (cm)
) Variable 6: Head width (cm)
)
) The structure is what you would get from tabs(y,mean:T,covar:T)
) when y is a 61 by 6 matrix containing the actual values

P05_09$mean     6 columns
) Sample means
)"%lf %lf %lf %lf %lf %lf"
   95.52  164.38   55.69   93.39   17.98   31.13

P05_09$covar     6     6
) Sample covariance matrix
)"%lf %lf %lf %lf %lf %lf"
 3266.46 1343.97  731.54 1175.50  162.68  238.37
 1343.97  721.91  324.25  537.35   80.17  117.73
  731.54  324.25  179.28  281.17   39.15   56.80
 1175.50  537.35  281.17  474.98   63.73   94.85
  162.68   80.17   39.15   63.73    9.95   13.88
  238.37  117.73   56.80   94.85   13.88   21.26

P05_11    9    2 format
) Data from Problem 11 in Chapter 5 p. 262 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P5-9.DAT on disk from book
) Mineral analyses of nine ancient Peruvian hairs
) Col. 1: x1 = Cr = chromium (ppm)
) Col. 2: x2 = Sr = strontium (ppm)
)"%lf %lf"
(2f6.2)
  0.48 12.57
 40.53 73.68
  2.19 11.13
  0.55 20.03
  0.74 20.29
  0.66  0.78
  0.93  4.64
  0.37  0.43
  0.22  1.08

T05_01    20    3 format
) Data from Table 5.1 p. 215 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-1.DAT on disk from book
) Sweat data
) Perspiration from 20 healthy females
) Col. 1: X1 = sweat rate
) Col. 2: X2 = Na = sodium
) Col. 3: X3 = K = potassium
)"%lf %lf %lf"
(f4.1,2f5.1)
 3.7 48.5  9.3
 5.7 65.1  8.0
 3.8 47.2 10.9
 3.2 53.2 12.0
 3.1 55.5  9.7
 4.6 36.1  7.9
 2.4 24.8 14.0
 7.2 33.1  7.6
 6.7 47.4  8.5
 5.4 54.1 11.3
 3.9 36.9 12.7
 4.5 58.8 12.3
 3.5 27.8  9.8
 4.5 40.2  8.4
 1.5 13.5 10.1
 8.5 56.4  7.1
 4.5 71.6  8.2
 6.5 52.8 10.9
 4.1 44.1 11.2
 5.5 40.9  9.4

T05_02    87    3 format
) Data from Table 5.2 p. 228 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-2.DAT on disk from book
) College Test Data
) Subtest scores from CLEP (X1) and CQT (X2 and X3)
) Col. 1: X1 = Social science and history
) Col. 2: X2 = Verbal
) Col. 3: X3 = Science
)"%lf %lf %lf"
(f4.0,2f3.0)
 468 41 26
 428 39 26
 514 53 21
 547 67 33
 614 61 27
 501 67 29
 421 46 22
 527 50 23
 527 55 19
 620 72 32
 587 63 31
 541 59 19
 561 53 26
 468 62 20
 614 65 28
 527 48 21
 507 32 27
 580 64 21
 507 59 21
 521 54 23
 574 52 25
 587 64 31
 488 51 27
 488 62 18
 587 56 26
 421 38 16
 481 52 26
 428 40 19
 640 65 25
 574 61 28
 547 64 27
 580 64 28
 494 53 26
 554 51 21
 647 58 23
 507 65 23
 454 52 28
 427 57 21
 521 66 26
 468 57 14
 587 55 30
 507 61 31
 574 54 31
 507 53 23
 494 41 24
 541 47 25
 362 36 17
 408 28 17
 594 68 23
 501 25 26
 687 75 33
 633 52 31
 647 67 29
 647 65 34
 614 59 25
 633 65 28
 448 55 24
 408 51 19
 441 35 22
 435 60 20
 501 54 21
 507 42 24
 620 71 36
 415 52 20
 554 69 30
 348 28 18
 468 49 25
 507 54 26
 527 47 31
 527 47 26
 435 50 28
 660 70 25
 733 73 33
 507 45 28
 527 62 29
 428 37 19
 481 48 23
 507 61 19
 527 66 23
 488 41 28
 607 69 28
 561 59 34
 614 70 23
 527 49 30
 474 41 16
 441 47 26
 607 67 32

T05_08    16    5 format
) Data from Table 5.8 p. 240 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-8.DAT on disk from book
) Five types of overtime hours for the Madison, WI, Police Dept.
) Col. 1: x1 = legal appearances hours
) Col. 2: x2 = extrordinary even hours
) Col. 3: x3 = holdover hours
) Col. 4: x4 = compensatory overtimne allowed hours
) Col. 5: x5 = meeting hours
) Each case represents 12 pay periods, about .5 year
)"%lf %lf %lf %lf %lf"
(3f5.0,f6.0,f5.0)
 3387 2200 1181 14861  236
 3109  875 3532 11367  310
 2670  957 2502 13329 1182
 3125 1758 4510 12328 1208
 3469  868 3032 12847 1385
 3120  398 2130 13979 1053
 3671 1603 1982 13528 1046
 4531  523 4675 12699 1100
 3678 2034 2354 13534 1349
 3238 1136 4606 11609 1150
 3135 5326 3044 14189 1216
 5217 1658 3340 15052  660
 3728 1945 2111 12236  299
 3506  344 1291 15482  206
 3824  807 1365 14900  239
 3516 1223 1175 15078  161

T05_08A    16    6 format
) Data from Table 5.8 and problem 8.24 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-8A.DAT on disk from book
) Variables x1 - x5 are from Table 5.8 on p. 240 (data set T05_08);
) x6 is from problem 8.24 on p. 475
) Six types of overtime hours for the Madison, WI, Police Dept.
) Col. 1: x1 = legal appearances hours
) Col. 2: x2 = extrordinary even hours
) Col. 3: x3 = holdover hours
) Col. 4: x4 = compensatory overtimne allowed hours
) Col. 5: x5 = meeting hours
) Col. 6: x6 = regular overtime hours
) Each case represents 12 pay periods, about .5 year
)"%lf %lf %lf %lf %lf %lf"
(3f5.0,f6.0,f5.0,f6.0)
 3387 2200 1181 14861  236  6187
 3109  875 3532 11367  310  7336
 2670  957 2502 13329 1182  6988
 3125 1758 4510 12328 1208  6964
 3469  868 3032 12847 1385  8425
 3120  398 2130 13979 1053  6778
 3671 1603 1982 13528 1046  5922
 4531  523 4675 12699 1100  7307
 3678 2034 2354 13534 1349  7679
 3238 1136 4606 11609 1150  8259
 3135 5326 3044 14189 1216 10954
 5217 1658 3340 15052  660  9353
 3728 1945 2111 12236  299  6291
 3506  344 1291 15482  206  4969
 3824  807 1365 14900  239  4825
 3516 1223 1175 15078  161  6019

T05_09     40      4 format
) Data from Table 5.9 p. 245 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-9.DAT on disk from book
) Welder data
) Col. 1: x1 = Voltage
) Col. 2: x2 = Current
) Col. 3: x3 = feed speed
) Col. 4: x4 = gas flow
)"%lf %lf %lf %lf"
(f5.1,f5.0,f7.1,f6.1)
 23.0  276  289.6  51.0
 22.0  281  289.0  51.7
 22.8  270  288.2  51.3
 22.1  278  288.0  52.3
 22.5  275  288.0  53.0
 22.2  273  288.0  51.0
 22.0  275  290.0  53.0
 22.1  268  289.0  54.0
 22.5  277  289.0  52.0
 22.5  278  289.0  52.0
 22.3  269  287.0  54.0
 21.8  274  287.6  52.0
 22.3  270  288.4  51.0
 22.2  273  290.2  51.3
 22.1  274  286.0  51.0
 22.1  277  287.0  52.0
 21.8  277  287.0  51.0
 22.6  276  290.0  51.0
 22.3  278  287.0  51.7
 23.0  266  289.1  51.0
 22.9  271  288.3  51.0
 21.3  274  289.0  52.0
 21.8  280  290.0  52.0
 22.0  268  288.3  51.0
 22.8  269  288.7  52.0
 22.0  264  290.0  51.0
 22.5  273  288.6  52.0
 22.2  269  288.2  52.0
 22.6  273  286.0  52.0
 21.7  283  290.0  52.7
 21.9  273  288.7  55.3
 22.3  264  287.0  52.0
 22.2  263  288.0  52.0
 22.3  266  288.6  51.7
 22.0  263  288.0  51.7
 22.8  272  289.0  52.3
 22.0  277  287.7  53.3
 22.7  272  289.0  52.0
 22.6  274  287.2  52.7
 22.7  270  290.0  51.0

T05_11    30    2 format
) Data from Table 5.11 p. 267 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-11.DAT on disk from book
) Ed. 4 Table 5.10
) Lumber data
) Col. 1: x1 = stiffness = modulus of elasticity
) Col. 2: x2 = bending strength
)"%lf %lf"
(f5.0,f6.0)
 1232  4175
 1115  6652
 2205  7612
 1897 10914
 1932 10850
 1612  7627
 1598  6954
 1804  8365
 1752  9469
 2067  6410
 2365 10327
 1646  7320
 1579  8196
 1880  9709
 1773 10370
 1712  7749
 1932  6818
 1820  9307
 1900  6457
 2426 10102
 1558  7414
 1470  7556
 1858  7833
 1587  8309
 2208  9559
 1487  6255
 2206 10723
 2332  5430
 2540 12090
 2322 10072

T05_12    45    2 format
) Data from Table 5.12 p. 268 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T5-12.DAT on disk from book
) Bird data (female hook-billed kites)
) Col. 1: x1 = tail length
) Col. 2: x2 = wing length
)"%lf %lf"
(2f4.0)
 191 284
 197 285
 208 288
 180 273
 180 275
 188 280
 210 283
 196 288
 191 271
 179 257
 208 289
 202 285
 200 272
 192 282
 199 280
 186 266
 197 285
 201 295
 190 282
 209 305
 187 285
 207 297
 178 268
 202 271
 205 285
 190 280
 189 277
 211 310
 216 305
 189 274
 173 271
 194 280
 198 300
 180 272
 190 292
 191 286
 196 285
 207 286
 209 303
 179 261
 186 262
 174 245
 181 250
 189 262
 188 258

P06_08    12    3 format
) Data from Problem 8 in Chapter 6 on p. 333 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P6-8.DAT on disk from book
) Treatment number was moved to column 1 from column 3
) Col. 1: Treatment (1, 2 or 3)
) Col. 2: x1
) Col. 3: x2
)"%lf %lf"
(f2.0,2f3.0)
 1  6  7
 1  5  9
 1  8  6
 1  4  9
 1  7  9
 2  3  3
 2  1  6
 2  2  3
 3  2  3
 3  5  1
 3  3  1
 3  2  3

P06_13    12    4 format
) Data from Problem 13 in Chapter 6 p. 335 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P6-13.DAT on disk from book
) Factors 1 and 2 moved to columns 1 and 2 from columns 3 and 4
) Col. 1: Factor 1 (1 - 3) {rep(run(3),4)}
) Col. 2: Factor 2 (1 - 4) {rep(run(4),rep(3,4))}
) Col. 3: x1
) Col. 4: x2
)"%lf %lf %lf %lf"
(f2.0,3f3.0)
 1  1  6  8
 2  1  3  8
 3  1 -3  2
 1  2  4  6
 2  2 -3  2
 3  2 -4 -5
 1  3  8 12
 2  3  4  3
 3  3  3 -3
 1  4  2  6
 2  4 -4  3
 3  4 -4 -6

P06_14    12    4 format
) Data from Problem 14 in Chapter 6 p. 336 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P6-14.DAT on disk from book
) Factors 1 and 2 moved to columns 1 and 2 from columns 3 and 4
) Col. 1: Factor 1 (1 - 3) {rep(run(3),4)}
) Col. 2: Factor 2 (1 - 4) {rep(run(4),rep(3,4))}
) Col. 3: x1
) Col. 4: x2
)"%lf %lf %lf %lf"
(f2.0,f3.0,2f4.0)
 1  1  14   8
 2  1   1   6
 3  1   3  -2
 1  2   6   2
 2  2   5  12
 3  2  -2   7
 1  3   8   2
 2  3   0  15
 3  3 -11   1
 1  4  16  -4
 2  4   2   7
 3  4  -6   6

T06_01    11    4 format
) Data from Table 6.1 p. 275 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-1.DAT on disk from book
) Effluent data
) Col. 1: BOD1 (biochemical oxygen demand) commercial lab measurement
) Col. 2: SS1  (suspended solids) commercial lab measurement
) Col. 3: BOD2 (biochemical oxygen demand) state lab of hygiene measurement
) Col. 4: SS2  (suspended solids) state lab of hygiene measurement
)"%lf %lf %lf %lf"
(f3.0,f4.0,2f3.0)
  6  27 25 15
  6  23 28 13
 18  64 36 22
  8  44 35 29
 11  30 15 31
 34  75 44 64
 28  26 42 30
 71 124 54 64
 43  54 34 56
 33  30 29 20
 20  14 39 21

T06_02    19    4 format
) Data from Table 6.2 p. 281 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-2.DAT on disk from book
) Sleeping-dog data
) Col. 1: Response for treatment 1 (High Co_2, pressure w/o H)
) Col. 2: Response for treatment 2 (Low Co_2, pressure w/o H)
) Col. 3: Response for treatment 3 (High Co_2, pressure with H)
) Col. 4: Response for treatment 4 (Low Co_2, pressure with H)
)"%lf %lf %lf %lf"
(4f4.0)
 426 609 556 600
 253 236 392 395
 359 433 349 357
 432 431 522 600
 405 426 513 513
 324 438 507 539
 310 312 410 456
 326 326 350 504
 375 447 547 548
 286 286 403 422
 349 382 473 497
 429 410 488 547
 348 377 447 514
 412 473 472 446
 347 326 455 468
 434 458 637 524
 364 367 432 469
 420 395 508 531
 397 556 645 625

T06_04    20    5 format
) Data from Table 6.4 p. 313 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-4.DAT on disk from book
) Plastic film data
) Col. 1: Factor 1 (0 = Low = -10% change, 1 = High = +10% change)
) Col. 2: Factor 2 (0 = Low = 1.0% additive, 1 = High = 1.5% additive)
) Col. 3: x1 = tear resistance
) Col. 4: x2 = gloss
) Col. 5: x3 = opacity
)"%lf %lf %lf %lf %lf"
(2f2.0,f4.1,f5.1,f4.1)
 0 0 6.5  9.5 4.4
 0 0 6.2  9.9 6.4
 0 0 5.8  9.6 3.0
 0 0 6.5  9.6 4.1
 0 0 6.5  9.2 0.8
 0 1 6.9  9.1 5.7
 0 1 7.2 10.0 2.0
 0 1 6.9  9.9 3.9
 0 1 6.1  9.5 1.9
 0 1 6.3  9.4 5.7
 1 0 6.7  9.1 2.8
 1 0 6.6  9.3 4.1
 1 0 7.2  8.3 3.8
 1 0 7.1  8.4 1.6
 1 0 6.8  8.5 3.4
 1 1 7.1  9.2 8.4
 1 1 7.0  8.8 5.2
 1 1 7.2  9.7 6.9
 1 1 7.5 10.1 2.7
 1 1 7.6  9.2 1.9

T06_05    15    4 format
) Data from Table 6.5 p. 323
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-5.DAT on disk from book
) Calcium measurements on the dominant ulna control group
) Col. 1: Initial measurement
) Col. 2: 1 year measurement
) Col. 3: 2 year measurement
) Col. 4: 3 year measurement
)"%lf %lf %lf %lf"
(f5.1,3f6.1)
 87.3  86.9  86.7  75.5
 59.0  60.2  60.0  53.6
 76.7  76.5  75.7  69.5
 70.6  76.1  72.1  65.3
 54.9  55.1  57.2  49.0
 78.2  75.3  69.1  67.6
 73.7  70.8  71.8  74.6
 61.8  68.7  68.2  57.4
 85.3  84.4  79.2  67.0
 82.3  86.9  79.4  77.4
 68.6  65.4  72.3  60.8
 67.8  69.2  66.3  57.9
 66.2  67.0  67.0  56.2
 81.0  82.3  86.8  73.9
 72.3  74.6  75.3  66.1

T06_06    16    4 format
) Data from Table 6.6 p. 324 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-6.DAT on disk from book
) Calcium measurements on the dominant ulna treatment group
) Col. 1: Initial measurement
) Col. 2: 1 year measurement
) Col. 3: 2 year measurement
) Col. 4: 3 year measurement
)"%lf %lf %lf %lf"
(f5.1,3f6.1)
 83.8 85.5 86.2 81.2
 65.3 66.9 67.0 60.6
 81.2 79.5 84.5 75.2
 75.4 76.7 74.3 66.7
 55.3 58.3 59.1 54.2
 70.3 72.3 70.6 68.6
 76.5 79.9 80.4 71.6
 66.0 70.9 70.3 64.1
 76.7 79.0 76.9 70.3
 77.2 74.0 77.8 67.9
 67.3 70.7 68.9 65.9
 50.3 51.4 53.6 48.0
 57.7 57.0 57.5 51.5
 74.3 77.7 72.6 68.0
 74.0 74.7 74.5 65.7
 57.3 56.0 64.7 53.0

T06_05_06    31    5 format
) Combined data from Tables 6.5 and 6.6 pp. 323 and 324 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) (data sets T06_05 and T06_06)
) In this combined file an additional column designating group,
) control or treatment
) Calcium measurements on the dominant ulna of older women
) Col. 1: Group (1 = control, 2 = treatment)
) Col. 2: Initial measurement
) Col. 3: 1 year measurement
) Col. 4: 2 year measurement
) Col. 5: 3 year measurement
)"%lf %lf %lf %lf %lf"
(f2.0,4f6.1)
 1  87.3  86.9  86.7  75.5
 1  59.0  60.2  60.0  53.6
 1  76.7  76.5  75.7  69.5
 1  70.6  76.1  72.1  65.3
 1  54.9  55.1  57.2  49.0
 1  78.2  75.3  69.1  67.6
 1  73.7  70.8  71.8  74.6
 1  61.8  68.7  68.2  57.4
 1  85.3  84.4  79.2  67.0
 1  82.3  86.9  79.4  77.4
 1  68.6  65.4  72.3  60.8
 1  67.8  69.2  66.3  57.9
 1  66.2  67.0  67.0  56.2
 1  81.0  82.3  86.8  73.9
 1  72.3  74.6  75.3  66.1
 2  83.8  85.5  86.2  81.2
 2  65.3  66.9  67.0  60.6
 2  81.2  79.5  84.5  75.2
 2  75.4  76.7  74.3  66.7
 2  55.3  58.3  59.1  54.2
 2  70.3  72.3  70.6  68.6
 2  76.5  79.9  80.4  71.6
 2  66.0  70.9  70.3  64.1
 2  76.7  79.0  76.9  70.3
 2  77.2  74.0  77.8  67.9
 2  67.3  70.7  68.9  65.9
 2  50.3  51.4  53.6  48.0
 2  57.7  57.0  57.5  51.5
 2  74.3  77.7  72.6  68.0
 2  74.0  74.7  74.5  65.7
 2  57.3  56.0  64.7  53.0

T06_07       60     3 format
) Data from Table 6.7 p. 330 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-7.DAT on disk from book
) Lizard data for two genera
) Genera recoded as 1 and 2 and moved to column 1 from column 3
) Col. 1: genus (1 = C = Cnemidophorus, 2 = S = Sceloporus)
) Col. 2: mass (gm)
) Col. 3: svl = snout-vent length (mm)
)"%lf %lf %lf"
(f2.0,f8.3,f6.1)
 1   7.513  74.0
 1   5.032  69.5
 1   5.867  72.0
 1  11.088  80.0
 1   2.419  56.0
 1  13.610  94.0
 1  18.247  95.5
 1  16.832  99.5
 1  15.910  97.0
 1  17.035  90.5
 1  16.526  91.0
 1   4.530  67.0
 1   7.230  75.0
 1   5.200  69.5
 1  13.450  91.5
 1  14.080  91.0
 1  14.665  90.0
 1   6.092  73.0
 1   5.264  69.5
 1  16.902  94.0
 2  13.911  77.0
 2   5.236  62.0
 2  37.331 108.0
 2  41.781 115.0
 2  31.995 106.0
 2   3.962  56.0
 2   4.367  60.5
 2   3.048  52.0
 2   4.838  60.0
 2   6.525  64.0
 2  22.610  96.0
 2  13.342  79.5
 2   4.109  55.5
 2  12.369  75.0
 2   7.120  64.5
 2  21.077  87.5
 2  42.989 109.0
 2  27.201  96.0
 2  38.901 111.0
 2  19.747  84.5
 2  14.666  80.0
 2   4.790  62.0
 2   5.020  61.5
 2   5.220  62.0
 2   5.690  64.0
 2   6.763  63.0
 2   9.977  71.0
 2   8.831  69.5
 2   9.493  67.5
 2   7.811  66.0
 2   6.685  64.5
 2  11.980  79.0
 2  16.520  84.0
 2  13.630  81.0
 2  13.700  82.5
 2  10.350  74.0
 2   7.900  68.5
 2   9.103  70.0
 2  13.216  77.5
 2   9.787  70.0

T06_08       32     4 format
) Data from Table 6.8 p. 338 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-8.DAT on disk from book
) Number parity data
) Col. 1: x1 = WordDiff
) Col. 2: x2 = WordSame
) Col. 3: x3 = ArabicDiff
) Col. 4: x4 = ArabicSame
)"%lf %lf %lf %lf"
(f7.1,3f8.1)
  869.0   860.5   691.0   601.0
  995.0   875.0   678.0   659.0
 1056.0   930.5   833.0   826.0
 1126.0   954.0   888.0   728.0
 1044.0   909.0   865.0   839.0
  925.0   856.5  1059.5   797.0
 1172.5   896.5   926.0   766.0
 1408.5  1311.0   854.0   986.0
 1028.0   887.0   915.0   735.0
 1011.0   863.0   761.0   657.0
  726.0   674.0   663.0   583.0
  982.0   894.0   831.0   640.0
 1225.0  1179.0  1037.0   905.5
  731.0   662.0   662.5   624.0
  975.5   872.5   814.0   735.0
 1130.5   811.0   843.0   657.0
  945.0   909.0   867.5   754.0
  747.0   752.5   777.0   687.5
  656.5   659.5   572.0   539.0
  919.0   833.0   752.0   611.0
  751.0   785.0   789.0   735.0
  774.0   735.0   671.0   612.0
  941.0   931.0   901.5   700.0
  751.0   785.0   789.0   735.0
  767.0   737.5   724.0   639.0
  813.5   750.5   711.0   625.0
 1289.5  1140.0   904.5   784.5
 1096.5  1009.0  1076.0   983.0
 1083.0   958.0   918.0   746.5
 1114.0  1046.0  1081.0   796.0
  708.0   669.0   657.0   572.5
 1201.0   925.0  1004.5   673.5

T06_09    48    4 format
) Data from Table 6.9 p. 339 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-9.DAT on disk from book
) The gender column containing "female" or "male" was deleted and
) a new column with gender coded as 1 (female) or 2 (male) inserted
) at start
) Was Table 6.7 in Edition 4
) Col. 1: Gender (1 = female, 2 = male)
) Col. 2: x1 = length
) Col. 3: x2 = width
) Col. 4: x3 = height
)"%lf %lf %lf %lf"
(f2.0,2f4.0,f3.0)
 1  98  81 38
 1 103  84 38
 1 103  86 42
 1 105  86 42
 1 109  88 44
 1 123  92 50
 1 123  95 46
 1 133  99 51
 1 133 102 51
 1 133 102 51
 1 134 100 48
 1 136 102 49
 1 138  98 51
 1 138  99 51
 1 141 105 53
 1 147 108 57
 1 149 107 55
 1 153 107 56
 1 155 115 63
 1 155 117 60
 1 158 115 62
 1 159 118 63
 1 162 124 61
 1 177 132 67
 2  93  74 37
 2  94  78 35
 2  96  80 35
 2 101  84 39
 2 102  85 38
 2 103  81 37
 2 104  83 39
 2 106  83 39
 2 107  82 38
 2 112  89 40
 2 113  88 40
 2 114  86 40
 2 116  90 43
 2 117  90 41
 2 117  91 41
 2 119  93 41
 2 120  89 40
 2 120  93 44
 2 121  95 42
 2 125  93 45
 2 127  96 45
 2 128  95 45
 2 131  95 46
 2 135 106 47

T06_10    59    4 format
) Data from Table 6.10 on p. 340 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-10.DAT on disk from book
) The fuel column containing "gasoline" or "diesel" was deleted and
) a new column with fuel type coded as 1 (gasoline) or 2 (diesel)
) inserted at start
) Milk transportation-cost data
) Col. 1: Fuel type (1 = gasoline, 2 = diesel)
) Col. 2: X1 = fuel cost (cents/mi)
) Col. 3: X2 = repair cost (cents/mi)
) Col. 4: X3 = capital cost (cents/mi)
)"%lf %lf %lf %lf"
(f2.0,3f7.2)
 1  16.44  12.43  11.23
 1   7.19   2.70   3.92
 1   9.92   1.35   9.75
 1   4.24   5.78   7.78
 1  11.20   5.05  10.67
 1  14.25   5.78   9.88
 1  13.50  10.98  10.60
 1  13.32  14.27   9.45
 1  29.11  15.09   3.28
 1  12.68   7.61  10.23
 1   7.51   5.80   8.13
 1   9.90   3.63   9.13
 1  10.25   5.07  10.17
 1  11.11   6.15   7.61
 1  12.17  14.26  14.39
 1  10.24   2.59   6.09
 1  10.18   6.05  12.14
 1   8.88   2.70  12.23
 1  12.34   7.73  11.68
 1   8.51  14.02  12.01
 1  26.16  17.44  16.89
 1  12.95   8.24   7.18
 1  16.93  13.37  17.59
 1  14.70  10.78  14.58
 1  10.32   5.16  17.00
 1   8.98   4.49   4.26
 1   9.70  11.59   6.83
 1  12.72   8.63   5.59
 1   9.49   2.16   6.23
 1   8.22   7.95   6.72
 1  13.70  11.22   4.91
 1   8.21   9.85   8.17
 1  15.86  11.42  13.06
 1   9.18   9.18   9.49
 1  12.49   4.67  11.94
 1  17.32   6.86   4.44
 2   8.50  12.26   9.11
 2   7.42   5.13  17.15
 2  10.28   3.32  11.23
 2  10.16  14.72   5.99
 2  12.79   4.17  29.28
 2   9.60  12.72  11.00
 2   6.47   8.89  19.00
 2  11.35   9.95  14.53
 2   9.15   2.94  13.68
 2   9.70   5.06  20.84
 2   9.77  17.86  35.18
 2  11.61  11.75  17.00
 2   9.09  13.25  20.66
 2   8.53  10.14  17.45
 2   8.29   6.22  16.38
 2  15.90  12.90  19.09
 2  11.94   5.69  14.77
 2   9.54  16.77  22.66
 2  10.43  17.65  10.66
 2  10.87  21.52  28.47
 2   7.13  13.22  19.44
 2  11.88  12.18  21.20
 2  12.03   9.22  23.09

T06_11    45    2 format
) Data from Table 6.11 p. 341 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-11.DAT on disk from book
) Male hook-billed kite data
)"%lf %lf"
(2f4.0)
 180 278
 186 277
 206 308
 184 290
 177 273
 177 284
 176 267
 200 281
 191 287
 193 271
 212 302
 181 254
 195 297
 187 281
 190 284
 185 282
 195 285
 183 276
 202 308
 177 254
 177 268
 170 260
 186 274
 177 272
 178 266
 192 281
 204 276
 191 290
 178 265
 177 275
 284 277
 176 281
 185 287
 191 295
 177 267
 197 310
 199 299
 190 273
 180 278
 189 280
 194 290
 186 287
 191 286
 187 288
 186 275

T06_11A   90     3 format
) Data from Tables 5.12 (p. 268) and 6.11 (p. 341) in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from files T5-12.DAT and T6-11.DAT on disk
) from book
) Female and male hook-billed kite data
) Col. 1: gender (1 = female, 2 = male)
) Col. 2: x1 = tail length
) Col. 3: x2 = wing length
)"%f %f %f"
(f2.0,2f5.0)
 1  191  284
 1  197  285
 1  208  288
 1  180  273
 1  180  275
 1  188  280
 1  210  283
 1  196  288
 1  191  271
 1  179  257
 1  208  289
 1  202  285
 1  200  272
 1  192  282
 1  199  280
 1  186  266
 1  197  285
 1  201  295
 1  190  282
 1  209  305
 1  187  285
 1  207  297
 1  178  268
 1  202  271
 1  205  285
 1  190  280
 1  189  277
 1  211  310
 1  216  305
 1  189  274
 1  173  271
 1  194  280
 1  198  300
 1  180  272
 1  190  292
 1  191  286
 1  196  285
 1  207  286
 1  209  303
 1  179  261
 1  186  262
 1  174  245
 1  181  250
 1  189  262
 1  188  258
 2  180  278
 2  186  277
 2  206  308
 2  184  290
 2  177  273
 2  177  284
 2  176  267
 2  200  281
 2  191  287
 2  193  271
 2  212  302
 2  181  254
 2  195  297
 2  187  281
 2  190  284
 2  185  282
 2  195  285
 2  183  276
 2  202  308
 2  177  254
 2  177  268
 2  170  260
 2  186  274
 2  177  272
 2  178  266
 2  192  281
 2  204  276
 2  191  290
 2  178  265
 2  177  275
 2  284  277
 2  176  281
 2  185  287
 2  191  295
 2  177  267
 2  197  310
 2  199  299
 2  190  273
 2  180  278
 2  189  280
 2  194  290
 2  186  287
 2  191  286
 2  187  288
 2  186  275

T06_12    50    5 format
) Data from Table 6.12, p. 343 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-12.DAT on disk from book
) The gender column containing "male" or "female" was deleted and
) a new column with gender coded as 1 (male) or 2 (female) inserted
) at start
) Oxygen consumption data
) Edition 4 Table 6.10
) Col. 1: Gender (1 = male, 2 = female)
) Col. 2: x1 = Resting O2 (L/min)
) Col. 3: x2 = Resting O2 (mL/kg/min)
) Col. 4: x3 = Maximum O2 (L/min)
) Col. 5: x4 = Maximum O2 (mL/kg/min)
)"%lf %lf %lf %lf"
(f2.0,3f6.2mf7.2)
 1  0.34  3.71  2.87  30.87
 1  0.39  5.08  3.38  43.85
 1  0.48  5.13  4.13  44.51
 1  0.31  3.95  3.60  46.00
 1  0.36  5.51  3.11  47.02
 1  0.33  4.07  3.95  48.50
 1  0.43  4.77  4.39  48.75
 1  0.48  6.69  3.50  48.86
 1  0.21  3.71  2.82  48.92
 1  0.32  4.35  3.59  48.38
 1  0.54  7.89  3.47  50.56
 1  0.32  5.37  3.07  51.15
 1  0.40  4.95  4.43  55.34
 1  0.31  4.97  3.56  56.67
 1  0.44  6.68  3.86  58.49
 1  0.32  4.80  3.31  49.99
 1  0.50  6.43  3.29  42.25
 1  0.36  5.99  3.10  51.70
 1  0.48  6.30  4.80  63.30
 1  0.40  6.00  3.06  46.23
 1  0.42  6.04  3.85  55.08
 1  0.55  6.45  5.00  58.80
 1  0.50  5.55  5.23  57.46
 1  0.34  4.27  4.00  50.35
 1  0.40  4.58  2.82  32.48
 2  0.29  5.04  1.93  33.85
 2  0.28  3.95  2.51  35.82
 2  0.31  4.88  2.31  36.40
 2  0.30  5.97  1.90  37.87
 2  0.28  4.57  2.32  38.30
 2  0.11  1.74  2.49  39.19
 2  0.25  4.66  2.12  39.21
 2  0.26  5.28  1.98  39.94
 2  0.39  7.32  2.25  42.41
 2  0.37  6.22  1.71  28.97
 2  0.31  4.20  2.76  37.80
 2  0.35  5.10  2.10  31.10
 2  0.29  4.46  2.50  38.30
 2  0.33  5.60  3.06  51.80
 2  0.18  2.80  2.40  37.60
 2  0.28  4.01  2.58  36.78
 2  0.44  6.69  3.05  46.16
 2  0.22  4.55  1.85  38.95
 2  0.34  5.73  2.43  40.60
 2  0.30  5.12  2.58  43.69
 2  0.31  4.77  1.97  30.40
 2  0.27  5.16  2.03  39.46
 2  0.66 11.05  2.32  39.34
 2  0.37  5.23  2.48  34.86
 2  0.35  5.37  2.25  35.07

T06_13    90     5 format
) Data from Table 6.13 p. 344 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-13.DAT on disk from book
) Egyptian skull data
) Rearranged, moving time period to column 1 from 5
) Col. 1: period = time period (1, 2 or 3)
) Col. 2: x1 = MaxBreath
) Col. 3: x2 = BasHeight
) Col. 4: x3 = BasLength
) Col. 5: x4 = NasHeight
)"%lf %lf %lf %lf %lf"
(f2.0,4f5.0)
 1  131  138   89   49
 1  125  131   92   48
 1  131  132   99   50
 1  119  132   96   44
 1  136  143  100   54
 1  138  137   89   56
 1  139  130  108   48
 1  125  136   93   48
 1  131  134  102   51
 1  134  134   99   51
 1  129  138   95   50
 1  134  121   95   53
 1  126  129  109   51
 1  132  136  100   50
 1  141  140  100   51
 1  131  134   97   54
 1  135  137  103   50
 1  132  133   93   53
 1  139  136   96   50
 1  132  131  101   49
 1  126  133  102   51
 1  135  135  103   47
 1  134  124   93   53
 1  128  134  103   50
 1  130  130  104   49
 1  138  135  100   55
 1  128  132   93   53
 1  127  129  106   48
 1  131  136  114   54
 1  124  138  101   46
 2  124  138  101   48
 2  133  134   97   48
 2  138  134   98   45
 2  148  129  104   51
 2  126  124   95   45
 2  135  136   98   52
 2  132  145  100   54
 2  133  130  102   48
 2  131  134   96   50
 2  133  125   94   46
 2  133  136  103   53
 2  131  139   98   51
 2  131  136   99   56
 2  138  134   98   49
 2  130  136  104   53
 2  131  128   98   45
 2  138  129  107   53
 2  123  131  101   51
 2  130  129  105   47
 2  134  130   93   54
 2  137  136  106   49
 2  126  131  100   48
 2  135  136   97   52
 2  129  126   91   50
 2  134  139  101   49
 2  131  134   90   53
 2  132  130  104   50
 2  130  132   93   52
 2  135  132   98   54
 2  130  128  101   51
 3  137  141   96   52
 3  129  133   93   47
 3  132  138   87   48
 3  130  134  106   50
 3  134  134   96   45
 3  140  133   98   50
 3  138  138   95   47
 3  136  145   99   55
 3  136  131   92   46
 3  126  136   95   56
 3  137  129  100   53
 3  137  139   97   50
 3  136  126  101   50
 3  137  133   90   49
 3  129  142  104   47
 3  135  138  102   55
 3  129  135   92   50
 3  134  125   90   60
 3  138  134   96   51
 3  136  135   94   53
 3  132  130   91   52
 3  133  131  100   50
 3  138  137   94   51
 3  130  127   99   45
 3  136  133   91   49
 3  134  123   95   52
 3  136  137  101   54
 3  133  131   96   49
 3  138  133  100   55
 3  138  133   91   46

T06_14    30    8 format
) Data from Table 6.14 p. 346 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-14.DAT on disk from book
) Spouse data
) Data on disk consisted of 60 rows and 4 columns.  This data set is
) first 30 rows (husband rating wife) side by side with last 30 rows
) (wife rating husband)
) Edition 4 Table 6.11
) Col. 1: x1 for husband rating wife
) Col. 2: x2 for husband rating wife
) Col. 3: x3 for husband rating wife
) Col. 4: x4 for husband rating wife
) Col. 5: x1 for wife rating husband
) Col. 6: x2 for wife rating husband
) Col. 7: x3 for wife rating husband
) Col. 8: x4 for wife rating husband
)"%lf %lf %lf %lf %lf %lf %lf %lf"
(8f2.0)
 2 3 5 5 4 4 5 5
 5 5 4 4 4 5 5 5
 4 5 5 5 4 4 5 5
 4 3 4 4 4 5 5 5
 3 3 5 5 4 4 5 5
 3 3 4 5 3 3 4 4
 3 4 4 4 4 3 5 4
 4 4 5 5 3 4 5 5
 4 5 5 5 4 4 5 4
 4 4 3 3 3 4 4 4
 4 4 5 5 4 5 5 5
 5 5 4 4 5 5 5 5
 4 4 4 4 4 4 5 5
 4 3 5 5 4 4 4 4
 4 4 5 5 4 4 5 5
 3 3 4 5 3 4 4 4
 4 5 4 4 5 5 5 5
 5 5 5 5 4 5 4 4
 5 5 4 4 3 4 4 4
 4 4 4 4 5 3 4 4
 4 4 4 4 5 3 4 4
 4 4 4 4 4 5 4 4
 3 4 5 5 2 5 5 5
 5 3 5 5 3 4 5 5
 5 5 3 3 4 3 5 5
 3 3 4 4 4 4 4 4
 4 4 4 4 4 4 5 5
 3 3 5 5 3 4 4 4
 4 4 3 3 4 4 5 4
 4 4 5 5 4 4 5 5

T06_15    70    8 format
) Data from Table 6.15 p. 348 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-15.DAT on disk from book
) Fly species indicator moved to column 1
) Biting fly data
) Col. 1: Fly species (0 = L. torrens, 1 = L. carteri)
) Col. 2: x1 = wing length
) Col. 3: x2 = wing width
) Col. 4: x3 = third palp length
) Col. 5: x4 = third palp width
) Col. 6: x5 = fourth palp length
) Col. 7: x6 = length of antennal segment 12
) Col. 8: x7 = length of antennal segment 13
)"%lf %lf %lf %lf %lf %lf %lf %lf"
(f5.0,6f3.0,f2.0)
 0  85  41  31  13  25   9   8
 0  87  38  32  14  22  13  13
 0  94  44  36  15  27   8   9
 0  92  43  32  17  28   9   9
 0  96  43  35  14  26  10  10
 0  91  44  36  12  24   9   9
 0  90  42  36  16  26   9   9
 0  92  43  36  17  26   9   9
 0  91  41  36  14  23   9   9
 0  87  38  35  11  24   9  10
 0  97  45  39  17  27   9  10
 0  89  38  36  13  22   9   9
 0  94  45  37  13  26   9   9
 0  96  44  37  14  24   9  10
 0 104  49  35  14  21  10  10
 0  94  41  31  17  26  10   9
 0  99  44  31  18  28  10   9
 0  94  38  32  13  22   9   9
 0  94  43  37  16  26   9  10
 0  93  43  38  14  28  10  10
 0  95  44  37  18  27  10  10
 0  95  45  39  13  27  10  10
 0  96  39  37  12  26   8   8
 0 103  46  34  18  26  10  10
 0 108  44  37  14  25  11  11
 0 106  47  38  15  26  10  10
 0 105  46  34  14  31  10  11
 0 103  44  34  15  23  10  10
 0 100  41  35  14  24  10  10
 0 109  44  36  13  27  11  10
 0 104  45  36  15  30  10  10
 0  95  40  35  14  23   9  10
 0 104  44  34  15  29   9  10
 0  90  40  37  12  22   9  10
 0 104  46  37  14  30  10  10
 1  86  19  37  11  25   9   9
 1  94  40  38  14  31   6   7
 1 103  48  39  14  33  10  10
 1  82  41  35  12  25   9   8
 1 103  43  42  15  32   9   9
 1 101  43  40  15  25   9   9
 1 103  45  44  14  29  11  11
 1 100  43  40  18  31  11  10
 1  99  41  42  15  31  10  10
 1 100  44  43  16  34  10  10
 1 112  47  44  16  38  12  11
 1  99  48  37  14  32  10   9
 1  98  45  41  19  31   9   8
 1 101  46  42  14  24  11  10
 1  99  45  37  13  28  10   9
 1 103  47  44  15  20   8   9
 1  98  40  38  12  32   9   8
 1 101  46  36  14  28  10  10
 1 101  46  40  17  32   9   9
 1  98  47  39  15  33  10  10
 1  99  45  42  15  32  10   9
 1 102  45  44  15  30  10  10
 1  97  45  37  15  32  10   9
 1  96  39  40  14  20   9   9
 1  89  39  33  12  20   9   8
 1  99  42  38  14  33   9   9
 1 110  45  41  17  36   9  10
 1  99  44  35  16  31  10  10
 1 103  43  38  14  32  10  10
 1  95  46  36  15  31   8   8
 1 101  47  38  14  37  11  11
 1 103  47  40  15  32  11  11
 1  99  43  37  14  23  11  10
 1 105  50  40  16  33  12  11
 1  99  47  39  14  34   7   7

T06_16    24    6 format
) Data from Table 6.16 p. 349 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-16.DAT on disk from book
) See also data set T01_08
) Mineral content in bones (after 1 year)
) Mineral content of 6 bones of older women
) Edition 4 Table 6.13
) Col. 1: Dominant radius
) Col. 2: Non-dominant radius
) Col. 3: Dominant humerus
) Col. 4: Non-dominant humerus
) Col. 5: Dominant ulna
) Col. 6: Non-dominant ulna
)"%lf %lf %lf %lf %lf %lf"
(6f6.3)
 1.027 1.051 2.268 2.246 0.869 0.964
 0.857 0.817 1.718 1.710 0.602 0.689
 0.875 0.880 1.953 1.756 0.765 0.738
 0.873 0.698 1.668 1.443 0.761 0.698
 0.811 0.813 1.643 1.661 0.551 0.619
 0.640 0.734 1.396 1.378 0.753 0.515
 0.947 0.865 1.851 1.686 0.708 0.787
 0.886 0.806 1.742 1.815 0.687 0.715
 0.991 0.923 1.931 1.776 0.844 0.656
 0.977 0.925 1.933 2.106 0.869 0.789
 0.825 0.826 1.609 1.651 0.654 0.726
 0.851 0.765 2.352 1.980 0.692 0.526
 0.770 0.730 1.470 1.420 0.670 0.580
 0.912 0.875 1.846 1.809 0.823 0.773
 0.905 0.826 1.842 1.579 0.746 0.729
 0.756 0.727 1.747 1.860 0.656 0.506
 0.765 0.764 1.923 1.941 0.693 0.740
 0.932 0.914 2.190 1.997 0.883 0.785
 0.843 0.782 1.242 1.228 0.577 0.627
 0.879 0.906 2.164 1.999 0.802 0.769
 0.673 0.537 1.573 1.330 0.540 0.498
 0.949 0.900 2.130 2.159 0.804 0.779
 0.463 0.637 1.041 1.265 0.570 0.634
 0.776 0.743 1.442 1.411 0.585 0.640

T06_17   12    5 format
) Data from Table 6.17 p. 349 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-17.DAT on disk from book
) Peanut data
) Edition 4 Table 6.14
) Col. 1: Factor 1 = location (1 or 2)
) Col. 2: Factor 2 = variety (5, 6 or 8)
) Col. 3: x1 = yield (plot weight)
) Col. 4: x2 = SdMatKer = sound mature kernels
) Col. 5: x3 = seed size (wt in g of 100 seeds)
)"%lf %lf %lf %lf %lf"
(2f2.0,2f6.1,f5.1)
 1 5 195.3 153.1 51.4
 1 5 194.3 167.7 53.7
 2 5 189.7 139.5 55.5
 2 5 180.4 121.1 44.4
 1 6 203.0 156.8 49.8
 1 6 195.9 166.0 45.8
 2 6 202.7 166.1 60.4
 2 6 197.6 161.8 54.1
 1 8 193.5 164.5 57.8
 1 8 187.0 165.1 58.6
 2 8 201.5 166.8 65.0
 2 8 200.0 173.8 67.2

T06_18     36     5 format
) Data from Table 6.18 p. 351 in 
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T6-18.DAT on disk from book
) Spectral reflectance data
) Data rearranged, with species, time and replication in columns
) 1, 2 and 3 and species coded numerically
) Col. 1: species (1 = SS, 2 = JL, 3 = LP)
) Col. 2: time (1 - 3)
) Col. 3: replication (1-4)
) Col. 4: x1 = percent spectral reflectance at 560 nm (green)
) Col. 5: x2 = percent spectral reflectance at wavelength 720 nm
)         (near infrared)
)"%lf %lf %lf %lf %lf"
(f3.0,2f4.0,2f7.2)
  1   1   1   9.33  19.14
  1   1   2   8.74  19.55
  1   1   3   9.31  19.24
  1   1   4   8.27  16.37
  1   2   1  10.22  25.00
  1   2   2  10.13  25.32
  1   2   3  10.42  27.12
  1   2   4  10.62  26.28
  1   3   1  15.25  38.89
  1   3   2  16.22  36.67
  1   3   3  17.24  40.74
  1   3   4  12.77  67.50
  2   1   1  12.07  33.03
  2   1   2  11.03  32.37
  2   1   3  12.48  31.31
  2   1   4  12.12  33.33
  2   2   1  15.38  40.00
  2   2   2  14.21  40.48
  2   2   3   9.69  33.90
  2   2   4  14.35  40.15
  2   3   1  38.71  77.14
  2   3   2  44.74  78.57
  2   3   3  36.67  71.43
  2   3   4  37.21  45.00
  3   1   1   8.73  23.27
  3   1   2   7.94  20.87
  3   1   3   8.37  22.16
  3   1   4   7.86  21.78
  3   2   1   8.45  26.32
  3   2   2   6.79  22.73
  3   2   3   8.34  26.67
  3   2   4   7.54  24.87
  3   3   1  14.04  44.44
  3   3   2  13.51  37.93
  3   3   3  13.33  37.93
  3   3   4  12.77  60.87

E07_10    7    4 format
) Data from Examples 7.6 (p. 376) and 7.10 (p. 397) in Chapter 7 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E7-10.DAT on disk from book
) Columns 1 - 3 are from Table 7.3; column 4 is from example 7.10
) Computer data
) Col. 1: z1 = orders
) Col. 2: z2 = add-delete items
) Col. 3: Y1 = CPU time
) Col. 4: Y2 = disk input/output capacity
)"%lf %lf %lf %lf"
(f6.1,f6.3,2f6.1)
 123.5 2.108 141.5 301.8
 146.1 9.213 168.9 396.1
 133.9 1.905 154.8 328.2
 128.5 0.815 146.5 307.4
 151.5 1.061 172.8 362.4
 136.2 8.603 160.1 369.5
  92.0 1.125 108.5 229.1

T07_01    20    3 format
) Data from Table 7.1 p. 368 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T7-1.DAT on disk from book
) Real-estate data
) Col. 1: z1 = total dwelling size (100 ft^2)
) Col. 2: z2 = assessed value ($1000)
) Col. 3: Y = selling price ($1000)
)"%lf %lf %lf"
(f6.2,f5.1,f7.0)
 15.31 57.3  74.8
 15.20 63.8  74.0
 16.25 65.4  72.9
 14.33 57.0  70.0
 14.57 63.8  74.9
 17.33 63.2  76.0
 14.48 60.2  72.0
 14.91 57.7  73.5
 15.25 56.4  74.5
 13.89 55.6  73.5
 15.18 62.6  71.5
 14.44 63.4  71.0
 14.87 60.2  78.9
 18.63 67.2  86.5
 15.20 57.1  68.0
 25.76 89.6 102.0
 19.05 68.6  84.0
 15.37 60.1  69.0
 18.06 66.3  88.0
 16.35 65.8  76.0

T07_02    18    3 format
) Data from Table 7.2 p. 372 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T7-2.DAT on disk from book
) Restaurant-service data
) Col. 1: location (1, 2 or 3)
) Col. 2: gender (0 = male, 1 = female)
) Col. 3: Y = service index
)"%lf %lf %lf"
(2f2.0,f5.1)
 1 0 15.2
 1 0 21.2
 1 0 27.3
 1 0 21.2
 1 0 21.2
 1 1 36.4
 1 1 92.4
 2 0 27.3
 2 0 15.2
 2 0  9.1
 2 0 18.2
 2 0 50.0
 2 1 44.0
 2 1 63.6
 3 0 15.2
 3 0 30.3
 3 1 36.4
 3 1 40.9

T07_03    7    3 format
) Data from Table 7.3 p. 376 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T7-3.DAT on disk from book
) These data are the same as the first 3 columns of E07_10
) Computer data
) Col. 1: z1 = orders
) Col. 2: z2 = add-delete items
) Col. 3: Y = CPU time
)"%lf %lf %lf"
(f6.1,f6.3,f6.1)
 123.5 2.108 141.5
 146.1 9.213 168.9
 133.9 1.905 154.8
 128.5 0.815 146.5
 151.5 1.061 172.8
 136.2 8.603 160.1
  92.0 1.125 108.5

T07_04    63    5 format
) Data from Table 7.4 p. 411 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T7-4.DAT on disk from book
) Natural gas data
) Col. 1: Y = sendout
) Col. 2: Z1 = DHD
) Col. 3: Z2 = DHD lagged by 1
) Col. 4: Z3 = windspeed
) Col. 5: Z4 = weekend (0 = weekday, 1 = weekend)
)"%lf %lf %lf %lf %lf"
(f4.0,3f3.0,f2.0)
 227 32 30 12 1
 236 31 32  8 1
 228 30 31  8 0
 252 34 30  8 0
 238 28 34 12 0
 195 24 28  8 0
 261 39 24 16 0
 406 62 39 16 1
 428 62 62 16 1
 366 49 62 16 0
 426 62 49 16 0
 402 53 62  8 0
 301 38 53 12 0
 247 30 38  8 0
 310 46 30 16 1
 401 59 46 14 1
 363 50 59 16 0
 343 46 50  2 0
 448 60 46 12 0
 450 57 60 14 0
 352 45 57  8 0
 317 46 45  8 1
 376 47 46 12 1
 348 38 47 16 0
 298 37 38  8 0
 342 45 37  8 0
 328 37 45 20 0
 289 39 37 16 0
 259 38 39 12 1
 288 35 38 16 1
 263 32 35  8 0
 258 31 32 14 0
 299 37 31 16 0
 330 42 37 12 0
 290 35 42 20 0
 225 30 35 16 1
 378 50 30 18 1
 447 59 50 12 0
 386 42 59 22 0
 416 54 42 16 0
 469 61 54 12 0
 439 58 61 14 0
 378 48 58 18 1
 349 42 48 18 1
 363 45 42 12 0
 431 56 45 12 0
 424 52 56 16 0
 384 47 52  8 0
 252 33 47  8 0
 194 25 33 16 1
 184 23 25 16 1
 192 25 23 12 0
 213 30 25 12 0
 233 31 30  8 0
 212 30 31 12 0
 192 26 30 16 0
 213 32 26 12 1
 296 41 32 16 1
 333 46 41  8 0
 266 33 46  8 0
 280 38 33 18 0
 386 52 38 22 0
 415 57 52 18 0

T07_05    20    6 format
) Data from Table 7.5 p. 422in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T7-5.DAT on disk from book
) Battery failure data
) Col. 1: z1 = charge rate (amps)
) Col. 2: z2 = discharge rate (amps)
) Col. 3: z3 = depth of discharge (% rated amper-hours)
) Col. 4: z4 = temperature (degrees C)
) Col. 5: z5 = end of charge voltage (volts)
) Col. 6: y  = cycles to failure
)"%lf %lf %lf %lf %lf %lf"
(f6.3,f5.2,f6.1,f3.0,f5.2,f4.0)
 0.375 3.13  60.0 40 2.00 101
 1.000 3.13  76.8 30 1.99 141
 1.000 3.13  60.0 20 2.00  96
 1.000 3.13  60.0 20 1.98 125
 1.625 3.13  43.2 10 2.01  43
 1.625 3.13  60.0 20 2.00  16
 1.625 3.13  60.0 20 2.02 188
 0.375 5.00  76.8 10 2.01  10
 1.000 5.00  43.2 10 1.99   3
 1.000 5.00  43.2 30 2.01 386
 1.000 5.00 100.0 20 2.00  45
 1.625 5.00  76.8 10 1.99   2
 0.375 1.25  76.8 10 2.01  76
 1.000 1.25  43.2 10 1.99  78
 1.000 1.25  76.8 30 2.00 160
 1.000 1.25  60.0  0 2.00   3
 1.625 1.25  43.2 30 1.99 216
 1.625 1.25  60.0 20 2.00  73
 0.375 3.13  76.8 30 1.99 314
 0.375 3.13  60.0 20 2.00 170

T07_06    17    7 format
) Data from Table 7.6 p. 423 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T7-6.DAT on disk from book
) Amitriptyline data
) Col. 1: y1 = TOT = total TCAD plasma level
) Col. 2: y2 = AMI = amount of amitriptyline present in TCAD plasma
)                    level
) Col. 3: z1 = GEN = gender (1 = F, 0 = M)
) Col. 4: z2 = AMT = amount of antidepressants taken at time of
)                    overdose
) Col. 5: z3 = PR = PR wave meaasurement
) Col. 6: z4 = DIAP = diastolic blood pressure
) Col. 7: z5 = QRS = QRS wave measurement
)"%lf %lf %lf %lf %lf %lf %lf"
(2f5.0,f2.0,f5.0,f4.0,f3.0,f4.0)
 3389 3149 1 7500 220  0 140
 1101  653 1 1975 200  0 100
 1131  810 0 3600 205 60 111
  596  448 1  675 160 60 120
  896  844 1  750 185 70  83
 1767 1450 1 2500 180 60  80
  807  493 1  350 154 80  98
 1111  941 0 1500 200 70  93
  645  547 1  375 137 60 105
  628  392 1 1050 167 60  74
 1360 1283 1 3000 180 60  80
  652  458 1  450 160 64  60
  860  722 1 1750 135 90  79
  500  384 0 2000 160 60  80
  781  501 0 4500 180  0 100
 1070  405 0 1500 170 90 120
 1754 1520 1 3000 180  0 129

P08_23     2  STRUC
) Data from Problem 23 in Chapter 8 p. 474-475 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P08-23.DAT on disk from book
)
) The data set is a structure with two components, 'mean' and 'covar'
) containing, respectively, the sample mean and sample covariance
) matrix of 6 measurements on 61 Alaskan bears.
) Data set is same as P05_09

P08_23$mean     6 columns
) Sample means
)"%lf %lf %lf %lf %lf %lf"
   95.52  164.38   55.69   93.39   17.98   31.13

P08_23$covar     6     6
) Sample covariance matrix
)"%lf %lf %lf %lf %lf %lf"
 3266.46 1343.97  731.54 1175.50  162.68  238.37
 1343.97  721.91  324.25  537.35   80.17  117.73
  731.54  324.25  179.28  281.17   39.15   56.80
 1175.50  537.35  281.17  474.98   63.73   94.85
  162.68   80.17   39.15   63.73    9.95   13.88
  238.37  117.73   56.80   94.85   13.88   21.26

E08_04    24    3 format
) Data from Example 4 in Chapter 8 p. 441 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E8-4.DAT on disk from book
) They are the same as the male data in Table 6.9, p. 339
) (data set T06_09)
) Col. 1: x1 = length
) Col. 2: x2 = width
) Col. 3: x3 = height
)"%lf %lf %lf"
(2f4.0,f3.0)
  93  74 37
  94  78 35
  96  80 35
 101  84 39
 102  85 38
 103  81 37
 104  83 39
 106  83 39
 107  82 38
 112  89 40
 113  88 40
 114  86 40
 116  90 43
 117  90 41
 117  91 41
 119  93 41
 120  89 40
 120  93 44
 121  95 42
 125  93 45
 127  96 45
 128  95 45
 131  95 46
 135 106 47

T08_02    16    5 format
) Data from Table 8.2 p. 456 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T8-2.DAT on disk from book
) Value of the principal components for the police dept. data
) Col. 1: yhat_1 = principal component 1
) Col. 2: yhat_2 = principal component 2
) Col. 3: yhat_3 = principal component 3
) Col. 4: yhat_4 = principal component 4
) Col. 5: yhat_5 = principal component 5
)"%lf %lf %lf %lf %lf"
(4f8.1,f7.1)
  2044.9   588.2   425.8  -189.1 -209.8
 -2143.7  -686.2   883.6  -565.9 -441.5
  -177.8  -464.6   707.5   736.3   38.2
 -2186.2   450.5  -184.0   443.7 -325.3
  -878.6  -545.8   115.7   296.4  437.5
   563.2 -1045.4   281.2   620.5  142.7
   403.1    66.8   340.6  -135.5  521.2
 -1988.9  -801.8 -1437.3  -148.8   61.6
   132.8   563.7   125.3    68.2  611.5
 -2787.3  -213.4     7.8   169.4 -202.3
   283.4  3936.9    -0.9   276.2 -159.6
   761.6   256.0 -2153.6  -418.8   28.2
  -498.3   244.7   966.5 -1142.3  182.6
  2366.2 -1193.7  -165.5   270.6 -344.9
  1917.8  -782.0   -82.9  -196.8  -89.9
  2187.7  -373.9   170.1   -84.1 -250.2

T08_04    100    5 format
) Data from Table 8.4 p. 469 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from erroneously named file T8-3.DAT on disk
) from book
) Stock-price data (weekly rate of return)
) Col. 1: Allied Chemical
) Col. 2: Du Pont
) Col. 3: Union Carbide
) Col. 4: Exxon
) Col. 5: Texaco
)"%lf %lf %lf %lf %lf"
(5f10.6)
  0.000000  0.000000  0.000000  0.039473 -0.000000
  0.027027 -0.044855 -0.003030 -0.014466  0.043478
  0.122807  0.060773  0.088146  0.086238  0.078124
  0.057031  0.029948  0.066808  0.013513  0.019512
  0.063670 -0.003793 -0.039788 -0.018644 -0.024154
  0.003521  0.050761  0.082873  0.074265  0.049504
 -0.045614 -0.033007  0.002551 -0.009646 -0.028301
  0.058823  0.041719  0.081425 -0.014610  0.014563
  0.000000 -0.019417  0.002353  0.001647 -0.028708
  0.006944 -0.025990  0.007042 -0.041118 -0.024630
  0.010345  0.006353  0.083916  0.010291 -0.000000
 -0.030717  0.020202 -0.040860 -0.039049 -0.050505
 -0.003521  0.118812  0.089686  0.060070  0.021276
  0.060071  0.079646  0.028807  0.036666  0.026041
 -0.003333 -0.001025  0.028000  0.028938 -0.010152
  0.055596  0.091282  0.042759  0.059375 -0.015812
  0.051282 -0.007519 -0.041431 -0.016269  0.058510
 -0.060976 -0.043561  0.023576  0.004566 -0.015075
 -0.035714  0.018170 -0.021113 -0.007575 -0.010204
  0.000000 -0.021569 -0.007843  0.088549  0.082474
 -0.006734 -0.015030 -0.086956 -0.021037 -0.019047
  0.000000 -0.017294  0.017316  0.054441  0.033980
  0.030508  0.047619  0.055319 -0.008152  0.032863
  0.023026  0.012846 -0.002016  0.013698 -0.031518
 -0.061093 -0.043902 -0.042424 -0.029729 -0.014084
  0.041096  0.016326  0.048523  0.018105  0.071428
 -0.013158 -0.004016 -0.038229 -0.042407 -0.048888
  0.003333 -0.008065 -0.014992  0.000000 -0.028037
 -0.056478 -0.014228 -0.038627 -0.005714 -0.019607
  0.051899  0.018557  0.066964  0.020302 -0.015000
 -0.013559 -0.029352  0.012552 -0.008571 -0.010152
 -0.037801  0.003252 -0.012397 -0.020172 -0.025641
 -0.021429  0.031466  0.039749  0.016176  0.005263
 -0.014599 -0.024390 -0.010060  0.004341 -0.005235
 -0.014815 -0.020833 -0.091463 -0.007204 -0.015789
  0.011278 -0.017021  0.064877  0.065312  0.026737
 -0.096654 -0.075758 -0.073529 -0.053133 -0.026041
  0.020576  0.058548  0.018141  0.063309  0.016042
  0.088710  0.046460  0.022272  0.004059 -0.000000
  0.007407  0.019027  0.045752 -0.008086  0.052631
 -0.022059  0.002075 -0.017272 -0.021739 -0.045000
 -0.031579  0.010352  0.012848 -0.013888  0.010695
  0.039370  0.054303 -0.014799  0.011428 -0.005291
  0.015151  0.029154 -0.021459 -0.009887 -0.021276
  0.000000 -0.010466  0.035088 -0.014265  0.038043
 -0.037313 -0.024038 -0.019068 -0.024602 -0.010471
  0.015504 -0.027586  0.006479  0.022255 -0.026455
  0.034351  0.024316  0.034335  0.020319  0.005434
 -0.036900  0.011869  0.014523  0.007112  0.016216
  0.068965  0.014663  0.016360  0.038135  0.063829
  0.089606  0.079961  0.102616  0.002721  0.020000
  0.000000  0.016949  0.029197  0.002713  0.004901
  0.059210  0.077193  0.019504 -0.012178  0.039024
  0.027950  0.009772  0.000000 -0.000000 -0.000265
 -0.004196  0.014516 -0.031696 -0.004445 -0.014354
  0.018405 -0.046900  0.061594 -0.043235 -0.029126
  0.069277  0.056888  0.040956  0.040816  0.020000
 -0.016901 -0.018268 -0.008197 -0.005602 -0.019607
 -0.017192 -0.001618 -0.001653 -0.016901  0.005000
 -0.040816 -0.035656  0.000000  0.014326  0.004975
 -0.018237 -0.003361 -0.028146  0.035310  0.014851
 -0.003096 -0.021922 -0.027257  0.005457  0.039024
  0.018634  0.025862 -0.017513  0.018995 -0.004694
 -0.057927 -0.018487  0.000000 -0.023968 -0.037735
  0.087379  0.049657  0.033868  0.047748  0.039215
  0.000000 -0.011419 -0.010345 -0.005208  0.028301
 -0.019367 -0.011551 -0.022817  0.007853  0.013761
 -0.046012  0.035893  0.044964  0.040612  0.004608
 -0.077170 -0.004029 -0.003442  0.003797 -0.027522
  0.034843 -0.008157 -0.018998  0.008827 -0.014151
 -0.006734 -0.019737 -0.026408  0.023749  0.014354
 -0.023729 -0.019295 -0.032550 -0.001221  0.023584
  0.065972  0.024807  0.057944  0.020782  0.004608
  0.000000 -0.036728 -0.014134 -0.007185  0.004587
 -0.052117 -0.058925 -0.069892  0.009650  0.009132
  0.054983 -0.003683  0.026975 -0.002389  0.009049
 -0.003257 -0.009242 -0.022514  0.005988 -0.013452
  0.022876  0.033582  0.001919  0.026190  0.004545
 -0.003195 -0.005415 -0.003831 -0.013921 -0.000165
  0.043590 -0.014519 -0.013385  0.021176  0.013824
 -0.009317  0.013812  0.021654 -0.014927 -0.009090
 -0.056426 -0.005557 -0.003854 -0.023696 -0.018348
  0.003322 -0.041475 -0.029014 -0.002427 -0.004672
  0.016556  0.017308  0.033864  0.034063  0.009389
 -0.009772 -0.016068 -0.003854  0.014117  0.013953
  0.026316 -0.016330 -0.009671  0.032482  0.027522
  0.009615  0.009766  0.017578  0.016247  0.017857
 -0.047619 -0.027079 -0.051823 -0.045468 -0.021929
 -0.026667 -0.061630 -0.056680 -0.013452 -0.040358
  0.010274  0.023305  0.034335 -0.018181 -0.004672
 -0.044068  0.020704 -0.006224 -0.018518  0.004694
  0.039007  0.038540  0.024988 -0.028301  0.032710
 -0.039457 -0.029297 -0.065844 -0.015837 -0.045758
  0.039568  0.024145 -0.006608  0.028423 -0.009661
 -0.031142 -0.007941  0.011080  0.007537  0.014634
  0.000000 -0.020080 -0.006579  0.029925 -0.004807
  0.021429  0.049180  0.006622 -0.002421  0.028985
  0.045454  0.046375  0.074561  0.014563  0.018779
  0.050167  0.036380  0.004082 -0.011961  0.009216
  0.019108 -0.033303  0.008362  0.033898  0.004566

T08_05    14    5 format
) Data from Table 8.5 p. 470 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from the erroneously named file T8-4.DAT
) on disk from book
) Census-tract data
)"%lf %lf %lf %lf %lf"
(f6.3,f5.1,f6.3,2f5.2)
 5.935 14.2 2.265 2.27 2.91
 1.523 13.1 0.597 0.75 2.62
 2.599 12.7 1.237 1.11 1.72
 4.009 15.2 1.649 0.81 3.02
 4.687 14.7 2.312 2.50 2.22
 8.044 15.6 3.641 4.51 2.36
 2.766 13.3 1.244 1.03 1.97
 6.538 17.0 2.618 2.39 1.85
 6.451 12.9 3.147 5.52 2.01
 3.314 12.2 1.606 2.18 1.82
 3.777 13.0 2.119 2.83 1.80
 1.530 13.8 0.798 0.84 4.25
 2.768 13.6 1.336 1.75 2.64
 6.585 14.9 2.763 1.91 3.17

T08_06    55    8 format
) Data from Table 8.6 pp. 473-474 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T8-6.DAT on disk from book
) National track records for men
) Col. 1: 100 m (sec)
) Col. 2: 200 m (sec)
) Col. 3: 400 m (sec)
) Col. 4: 800 m (min)
) Col. 5: 1500 m (min)
) Col. 6: 5000 m (min)
) Col. 7: 10,000 m (min)
) Col. 8: Marathon (min)
) Col. 9: Country (skipped by format)
)"%lf %lf %lf %lf %lf %lf %lf %lf"
(3f6.2,2f5.2,2f6.2,f7.2)
 10.39 20.81 46.84 1.81 3.70 14.04 29.36 137.72 Argentina
 10.31 20.06 44.84 1.74 3.57 13.28 27.66 128.30 Australia
 10.44 20.81 46.82 1.79 3.60 13.26 27.72 135.90 Austria
 10.34 20.68 45.04 1.73 3.60 13.22 27.45 129.95 Belgium
 10.28 20.58 45.91 1.80 3.75 14.68 30.55 146.62 Bermuda
 10.22 20.43 45.21 1.73 3.66 13.62 28.62 133.13 Brazil
 10.64 21.52 48.30 1.80 3.85 14.45 30.28 139.95 Burma
 10.17 20.22 45.68 1.76 3.63 13.55 28.09 130.15 Canada
 10.34 20.80 46.20 1.79 3.71 13.61 29.30 134.03 Chile
 10.51 21.04 47.30 1.81 3.73 13.90 29.13 133.53 China
 10.43 21.05 46.10 1.82 3.74 13.49 27.88 131.35 Columbia
 12.18 23.20 52.94 2.02 4.24 16.70 35.38 164.70 CookIs
 10.94 21.90 48.66 1.87 3.84 14.03 28.81 136.58 Costa_Rica
 10.35 20.65 45.64 1.76 3.58 13.42 28.19 134.32 Czech
 10.56 20.52 45.89 1.78 3.61 13.50 28.11 130.78 Denmark
 10.14 20.65 46.80 1.82 3.82 14.91 31.45 154.12 DomRep
 10.43 20.69 45.49 1.74 3.61 13.27 27.52 130.87 Finland
 10.11 20.38 45.28 1.73 3.57 13.34 27.97 132.30 France
 10.12 20.33 44.87 1.73 3.56 13.17 27.42 129.92 GDR
 10.16 20.37 44.50 1.73 3.53 13.21 27.61 132.23 FRG
 10.11 20.21 44.93 1.70 3.51 13.01 27.51 129.13 GB_NI
 10.22 20.71 46.56 1.78 3.64 14.59 28.45 134.60 Greece
 10.98 21.82 48.40 1.89 3.80 14.16 30.11 139.33 Guatemala
 10.26 20.62 46.02 1.77 3.62 13.49 28.44 132.58 Hungary
 10.60 21.42 45.73 1.76 3.73 13.77 28.81 131.98 India
 10.59 21.49 47.80 1.84 3.92 14.73 30.79 148.83 Indonesia
 10.61 20.96 46.30 1.79 3.56 13.32 27.81 132.35 Ireland
 10.71 21.00 47.80 1.77 3.72 13.66 28.93 137.55 Israel
 10.01 19.72 45.26 1.73 3.60 13.23 27.52 131.08 Italy
 10.34 20.81 45.86 1.79 3.64 13.41 27.72 128.63 Japan
 10.46 20.66 44.92 1.73 3.55 13.10 27.38 129.75 Kenya
 10.34 20.89 46.90 1.79 3.77 13.96 29.23 136.25 Korea
 10.91 21.94 47.30 1.85 3.77 14.13 29.67 130.87 DPRKorea
 10.35 20.77 47.40 1.82 3.67 13.64 29.08 141.27 Luxembourg
 10.40 20.92 46.30 1.82 3.80 14.64 31.01 154.10 Malaysia
 11.19 22.45 47.70 1.88 3.83 15.06 31.77 152.23 Mauritius
 10.42 21.30 46.10 1.80 3.65 13.46 27.95 129.20 Mexico
 10.52 20.95 45.10 1.74 3.62 13.36 27.61 129.02 Netherlands
 10.51 20.88 46.10 1.74 3.54 13.21 27.70 128.98 NZ
 10.55 21.16 46.71 1.76 3.62 13.34 27.69 131.48 Norway
 10.96 21.78 47.90 1.90 4.01 14.72 31.36 148.22 PNG
 10.78 21.64 46.24 1.81 3.83 14.74 30.64 145.27 Philippines
 10.16 20.24 45.36 1.76 3.60 13.29 27.89 131.58 Poland
 10.53 21.17 46.70 1.79 3.62 13.13 27.38 128.65 Portugal
 10.41 20.98 45.87 1.76 3.64 13.25 27.67 132.50 Rumania
 10.38 21.28 47.40 1.88 3.89 15.11 31.32 157.77 Singapore
 10.42 20.77 45.98 1.76 3.55 13.31 27.73 131.57 Spain
 10.25 20.61 45.63 1.77 3.61 13.29 27.94 130.63 Sweden
 10.37 20.46 45.78 1.78 3.55 13.22 27.91 131.20 Switzerland
 10.59 21.29 46.80 1.79 3.77 14.07 30.07 139.27 Taipei
 10.39 21.09 47.91 1.83 3.84 15.23 32.56 149.90 Thailand
 10.71 21.43 47.60 1.79 3.67 13.56 28.58 131.50 Turkey
  9.93 19.75 43.86 1.73 3.53 13.20 27.43 128.22 USA
 10.07 20.00 44.60 1.75 3.59 13.20 27.53 130.55 USSR
 10.82 21.86 49.00 2.02 4.24 16.28 34.71 161.83 WSamoa

P09_15            8     8 LABELS
) Data from Problem 9.15 in Chapter 9 p. 537 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P8-15.DAT on disk from book
) The upper triangle has been filled in and variable labels added
) Correlation matrix for 8 accounting and market-value measures
) of profitability
) Var. 1: HRA = historical return on assets
) Var. 2: HRE = historical return on equity
) Var. 3: HRS = historical return on sales
) Var. 4: RRA = replacement return on assets
) Var. 5: RRE = replacement return on equity
) Var. 6: RRS = replacement return on sales
) Var. 7: Q   = market Q ratio
) Var. 8: REV = market relative excess value
)"%lf %lf %lf %lf %lf %lf %lf %lf"
  1.000  0.738  0.731  0.828  0.681  0.712  0.625  0.604
  0.738  1.000  0.520  0.688  0.831  0.543  0.322  0.303
  0.731  0.520  1.000  0.652  0.513  0.826  0.579  0.617
  0.828  0.688  0.652  1.000  0.887  0.867  0.639  0.563
  0.681  0.831  0.513  0.887  1.000  0.692  0.419  0.352
  0.712  0.543  0.826  0.867  0.692  1.000  0.608  0.610
  0.625  0.322  0.579  0.639  0.419  0.608  1.000  0.937
  0.604  0.303  0.617  0.563  0.352  0.610  0.937  1.000

P09_15$LABELS    16 QUOTED COLUMNS
)"%s %s %s %s %s %s %s %s"
"HRA" "HRE" "HRS" "RRA" "RRE" "RRS" "Q"   "REV"
"HRA" "HRE" "HRS" "RRA" "RRE" "RRS" "Q"   "REV"

E09_06    10    10 format
) Data from Example 6 in Chapter 9 p. 495 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E9-6.DAT on disk from book
) The upper triangle has been filled in
) Correlations of Olympic decathlon data
) Variable  1: 100-m run
) Variable  2: long jump
) Variable  3: shot put
) Variable  4: high jump
) Variable  5: 400-m run
) Variable  6: 110-m hurdles
) Variable  7: discus
) Variable  8: pole vault
) Variable  9: javelin
) Variable 10: 1500-m run
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf %lf"
(10f6.2)
  1.00  0.59  0.35  0.34  0.63  0.40  0.28  0.20  0.11 -0.07
  0.59  1.00  0.42  0.51  0.49  0.52  0.31  0.36  0.21  0.09
  0.35  0.42  1.00  0.38  0.19  0.36  0.73  0.24  0.44 -0.08
  0.34  0.51  0.38  1.00  0.29  0.46  0.27  0.39  0.17  0.18
  0.63  0.49  0.19  0.29  1.00  0.34  0.17  0.23  0.13  0.39
  0.40  0.52  0.36  0.46  0.34  1.00  0.32  0.33  0.18  0.00
  0.28  0.31  0.73  0.27  0.17  0.32  1.00  0.24  0.34 -0.02
  0.20  0.36  0.24  0.39  0.23  0.33  0.24  1.00  0.24  0.17
  0.11  0.21  0.44  0.17  0.13  0.18  0.34  0.24  1.00  0.00
 -0.07  0.09 -0.08  0.18  0.39  0.00 -0.02  0.17  0.00  1.00

E09_08           6     6 LABELS
) Data from Example 8 in Chapter 9, p. 502 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E9-8.DAT on disk from book
) The upper triangle has been filled in and labels added
) Correlations of exam scores in 6 subject areas for n = 220
) male students.
) Variable 1: Gaelic
) Variable 2: English
) Variable 3: History
) Variable 4: Arithmetic
) Variable 5: Algebra
) Variable 6: Geometry
)"%lf %lf %lf %lf %lf %lf"
  1.000  0.439  0.410  0.288  0.329  0.248
  0.439  1.000  0.351  0.354  0.320  0.329
  0.410  0.351  1.000  0.164  0.190  0.181
  0.288  0.354  0.164  1.000  0.595  0.470
  0.329  0.320  0.190  0.595  1.000  0.464
  0.248  0.329  0.181  0.470  0.464  1.000

E09_08$LABELS    12 QUOTED COLUMNS
)"%s %s %s %s %s %s"
"Gaelic"  "English"  "History"  "Arithmetic"  "Algebra"  "Geometry"
"Gaelic"  "English"  "History"  "Arithmetic"  "Algebra"  "Geometry"

E09_14           6     6  labels
) Data from Example 14 in Chapter 9, p. 519 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E9-8.DAT on disk from book
) The upper triangle has been filled in and labels added
) Variable 1: Skull length
) Variable 2: Skull breadth
) Variable 3: Femur length
) Variable 4: Tibia length
) Variable 5: Humerus length
) Variable 6: Ulna length
)"%lf %lf %lf %lf %lf %lf"
(6f7.3)
  1.000  0.505  0.569  0.602  0.621  0.603
  0.505  1.000  0.422  0.467  0.482  0.450
  0.569  0.422  1.000  0.926  0.877  0.878
  0.602  0.467  0.926  1.000  0.874  0.894
  0.621  0.482  0.877  0.874  1.000  0.937
  0.603  0.450  0.878  0.894  0.937  1.000

E09_14$LABELS    12 QUOTED COLUMNS
) Row and column labels for data set E09_14
)"%s %s %s %s %s %s"
"SklLen"   "SklBrdth" "FemurLen" "TibiaLen" "HumLen"   "UlnaLen"
"SklLen"   "SklBrdth" "FemurLen" "TibiaLen" "HumLen"   "UlnaLen"
  
T09_12    50    7 format
) Data from Table 9.12 p. 539 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T9-12.DAT on disk from book
) Salespeople data
) Col. 1: x1 = Index of sales growth
) Col. 2: x2 = Index of sales profitability
) Col. 3: x3 = Index of new-account sales
) Col. 4: x4 = Score on creativity test
) Col. 5: x5 = Score on mechanical reasoning test
) Col. 6: x6 = Score on abstract reasoning test
) Col. 7: x7 = Score on mathematics test
)"%lf %lf %lf %lf %lf %lf %lf"
(3f6.1,4f3.0)
  93.0  96.0  97.8  9 12  9 20
  88.8  91.8  96.8  7 10 10 15
  95.0 100.3  99.0  8 12  9 26
 101.3 103.8 106.8 13 14 12 29
 102.0 107.8 103.0 10 15 12 32
  95.8  97.5  99.3 10 14 11 21
  95.5  99.5  99.0  9 12  9 25
 110.8 122.0 115.3 18 20 15 51
 102.8 108.3 103.8 10 17 13 31
 106.8 120.5 102.0 14 18 11 39
 103.3 109.8 104.0 12 17 12 32
  99.5 111.8 100.3 10 18  8 31
 103.5 112.5 107.0 16 17 11 34
  99.5 105.5 102.3  8 10 11 34
 100.0 107.0 102.8 13 10  8 34
  81.5  93.5  95.0  7  9  5 16
 101.3 105.3 102.8 11 12 11 32
 103.3 110.8 103.5 11 14 11 35
  95.3 104.3 103.0  5 14 13 30
  99.5 105.3 106.3 17 17 11 27
  88.5  95.3  95.8 10 12  7 15
  99.3 115.0 104.3  5 11 11 42
  87.5  92.5  95.8  9  9  7 16
 105.3 114.0 105.3 12 15 12 37
 107.0 121.0 109.0 16 19 12 39
  93.3 102.0  97.8 10 15  7 23
 106.8 118.0 107.3 14 16 12 39
 106.8 120.0 104.8 10 16 11 49
  92.3  90.8  99.8  8 10 13 17
 106.3 121.0 104.5  9 17 11 44
 106.0 119.5 110.5 18 15 10 43
  88.3  92.8  96.8 13 11  8 10
  96.0 103.3 100.5  7 15 11 27
  94.3  94.5  99.0 10 12 11 19
 106.5 121.5 110.5 18 17 10 42
 106.5 115.5 107.0  8 13 14 47
  92.0  99.5 103.5 18 16  8 18
 102.0  99.8 103.3 13 12 14 28
 108.3 122.3 108.5 15 19 12 41
 106.8 119.0 106.8 14 20 12 37
 102.5 109.3 103.8  9 17 13 32
  92.5 102.5  99.3 13 15  6 23
 102.8 113.8 106.8 17 20 10 32
  83.3  87.3  96.3  1  5  9 15
  94.8 101.8  99.8  7 16 11 24
 103.5 112.0 110.8 18 13 12 37
  89.5  96.0  97.3  7 15 11 14
  84.3  89.8  94.3  8  8  8  9
 104.3 109.5 106.5 14 12 12 36
 106.0 118.5 105.0 12 16 11 39

E10_04     4     4 format labels
) Data from Example 4 in Chapter 10 p. 559 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E10-4.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Chicken-bone data correlations
) Variable 1: skull length
) Variable 2: skull breadth
) Variable 3: femur length
) Variable 4: tibia length
)"%lf %lf %lf %lf"
(4f6.3)
 1.000 0.505 0.569 0.602
 0.505 1.000 0.422 0.467
 0.569 0.422 1.000 0.926
 0.602 0.467 0.926 1.000

E10_04$LABELS     8 QUOTED COLUMNS
) Row and column labels for data set E10_04
)"%s %s %s %s"
"SklLen"   "SklBrdth" "FemurLen" "TibiaLen"
"SklLen"   "SklBrdth" "FemurLen" "TibiaLen"

E10_05    12    12 format
) Data from Example 5 in Chapter 10 p. 561 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file E10-5.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Organizational-structure data correlations based on 5 job
) characteristics and 7 job satisfaction variables for 784
) executives from the corporate branch of a large retail
) merchandising corporation.
) Variable 1: x1(1) = feedback
) Variable 2: x2(1) = task significance
) Variable 3: x3(1) = task variety
) Variable 4: x4(1) = task identity
) Variable 5: x5(1) = autonomy
) Variable 6: x1(2) = supervisor satisfaction
) Variable 7: x2(2) = career-future satisfaction
) Variable 8: x3(2) = financial satisfaction
) Variable 9: x4(2) = workload satisfaction
) Variable 10: x5(2) = company identification
) Variable 11: x6(2) = kind-of-work-satisfaction
) Variable 12: x7(2) = general satisfaction
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf"
(12f5.2)
 1.00 0.49 0.53 0.49 0.51 0.33 0.32 0.20 0.19 0.30 0.37 0.21
 0.49 1.00 0.57 0.46 0.53 0.30 0.21 0.16 0.08 0.27 0.35 0.20
 0.53 0.57 1.00 0.48 0.57 0.31 0.23 0.14 0.07 0.24 0.37 0.18
 0.49 0.46 0.48 1.00 0.57 0.24 0.22 0.12 0.19 0.21 0.29 0.16
 0.51 0.53 0.57 0.57 1.00 0.38 0.32 0.17 0.23 0.32 0.36 0.27
 0.33 0.30 0.31 0.24 0.38 1.00 0.43 0.27 0.24 0.34 0.37 0.40
 0.32 0.21 0.23 0.22 0.32 0.43 1.00 0.33 0.26 0.54 0.32 0.58
 0.20 0.16 0.14 0.12 0.17 0.27 0.33 1.00 0.25 0.46 0.29 0.45
 0.19 0.08 0.07 0.19 0.23 0.24 0.26 0.25 1.00 0.28 0.30 0.27
 0.30 0.27 0.24 0.21 0.32 0.34 0.54 0.46 0.28 1.00 0.35 0.59
 0.37 0.35 0.37 0.29 0.36 0.37 0.32 0.29 0.30 0.35 1.00 0.31
 0.21 0.20 0.18 0.16 0.27 0.40 0.58 0.45 0.27 0.59 0.31 1.00

P10_08C    3    3 format
) Data from Problem 8 (c), p. 574 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-8C.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Ozone and wind direction correlations
) Variable 1: ozone
) Variable 2: cos(theta2)
) Variable 3: sin(theta2)
)"%lf %lf %lf"
(f6.3,2f7.3)
 1.000  0.166  0.694
 0.166  1.000 -0.051
 0.694 -0.051  1.000

P10_08E    4    4 format
) Data from Problem 8 (e), p. 575 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-8E.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Wind direction correlations
) Variable 1: cos(theta1)
) Variable 2: sin(theta1)
) Variable 3: cos(theta2)
) Variable 4: sin(theta2)
)"%lf %lf %lf %lf"
(4f7.3)
  1.000 -0.291  0.440  0.372
 -0.291  1.000 -0.205  0.243
  0.440 -0.205  1.000  0.181
  0.372  0.243  0.181  1.000

P10_09    4    4 format
) Data from Problem 9 in Chapter 10 p. 575 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-9.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Correlation matrix from n 7th grade children for variables
) x1(1) = reading speed
) x2(1) = reading power
) x1(2) = arithmetic speed
) x2(2) = arithmetic power
)"%lf %lf %lf %lf"
(f7.4,3f8.4)
 1.0000  0.6328  0.2412  0.0586
 0.6328  1.0000 -0.0553  0.0655
 0.2412 -0.0553  1.0000  0.4248
 0.0586  0.0655  0.4248  1.0000

P10_10    4    4 format
) Data from Problem 10 in Chapter 10 p. 575 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-10.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Poverty, crime and deterrence correlations for variables
) x1(1) = 1973 nonprimary homicides
) x2(1) = 1973 primary homicides
) x1(2) = 1970 severity of punishment (median months served)
) x2(2) = 1970 certainty of punishment (proportion of homicides
)            resulting in imprisonment)
)"%lf %lf %lf %lf"
(4f7.3)
  1.000  0.615 -0.111 -0.266
  0.615  1.000 -0.195 -0.085
 -0.111 -0.195  1.000 -0.269
 -0.266 -0.085 -0.269  1.000

P10_12    5    5 format
) Data from Problem 12 in Chapter 10 p. 576 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-12.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Correlations for demographic and consumption variables, n = 70
) x1(1) = annual frequency of dining in a restaurant
) x2(1) = annual frequency of attending movies
) x1(2) = age of head of household
) x2(2) = annual family income
) x3(2) = educational level of head of household
)"%lf %lf %lf %lf %lf"
(5f5.2)
 1.00 0.80 0.26 0.67 0.34
 0.80 1.00 0.33 0.59 0.34
 0.26 0.33 1.00 0.37 0.21
 0.67 0.59 0.37 1.00 0.35
 0.34 0.34 0.21 0.35 1.00

P10_16    5    5 format
) Data from Problem 16 in Chapter 10 p. 578 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-16.DAT on disk from book
) Covariances for n = 46 nondiabetic patients for variables
) x1(1) = glucose intolerance
) x2(1) = insulin response to oral glucose
) x3(1) = insulin resistance
) x1(2) = relative weight
) x2(2) = fasting plasma glucose
)"%lf %lf %lf %lf %lf"
(3f9.3,f7.3,f8.3)
 1106.000  396.700  108.400  0.787  26.230
  396.700 2382.000 1143.000 -0.214 -23.960
  108.400 1143.000 2136.000  2.189 -20.840
	0.787   -0.214    2.189  0.016   0.216
   26.230  -23.960  -20.840  0.216  70.560

P10_17    12    12 format
) Data from Problem 17 in Chapter 10 p. 579 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file P10-17.DAT on disk from book
) Correlations for data on n = 110 subjects' desire to smoke and
) physical and mental state.  Variables were from 12 questions:
) z1(1) = smoking 1 (first wording)
) z2(1) = smoking 2 (second wording)
) z3(1) = smoking 3 (third wording)
) z4(1) = smoking 4 (fourth wording)
) z1(2) = concentration
) z2(2) = annoyance
) z3(2) = sleepiness
) z4(2) = tenseness
) z5(2) = alertness
) z6(2) = irritability
) z7(2) = tiredness
) z8(2) = contentedness
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf"
(12f6.3)
 1.000 0.785 0.810 0.775 0.086 0.144 0.140 0.222 0.101 0.189 0.199 0.239
 0.785 1.000 0.816 0.813 0.200 0.119 0.211 0.301 0.223 0.221 0.274 0.235
 0.810 0.816 1.000 0.845 0.041 0.060 0.126 0.120 0.039 0.108 0.139 0.100
 0.775 0.813 0.845 1.000 0.228 0.122 0.277 0.214 0.201 0.156 0.271 0.171
 0.086 0.200 0.041 0.228 1.000 0.562 0.457 0.579 0.802 0.595 0.512 0.492
 0.144 0.119 0.060 0.122 0.562 1.000 0.360 0.705 0.578 0.796 0.413 0.739
 0.140 0.211 0.126 0.277 0.457 0.360 1.000 0.273 0.606 0.337 0.798 0.240
 0.222 0.301 0.120 0.214 0.579 0.705 0.273 1.000 0.594 0.725 0.364 0.711
 0.101 0.223 0.039 0.201 0.802 0.578 0.606 0.594 1.000 0.605 0.698 0.605
 0.189 0.221 0.108 0.156 0.595 0.796 0.337 0.725 0.605 1.000 0.428 0.697
 0.199 0.274 0.139 0.271 0.512 0.413 0.798 0.364 0.698 0.428 1.000 0.394
 0.239 0.235 0.100 0.171 0.492 0.739 0.240 0.711 0.605 0.697 0.394 1.000

T11_01    24    3 format
) Data from Table 11.1 p. 584 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-1.DAT on disk from book
) Group identification variable moved to column 1
) Col. 1: Group (1 = riding-mower owners, 2 = nonowners_
) Col. 2: x1 = income ($1000)
) Col. 3: x2 = lot size (1000 ft^2)
)"%lf %lf %lf"
(f2.0,2f6.1)
 1  60.0  18.4
 1  85.5  16.8
 1  64.8  21.6
 1  61.5  20.8
 1  87.0  23.6
 1 110.1  19.2
 1 108.0  17.6
 1  82.8  22.4
 1  69.0  20.0
 1  93.0  20.8
 1  51.0  22.0
 1  81.0  20.0
 2  75.0  19.6
 2  52.8  20.8
 2  64.8  17.2
 2  43.2  20.4
 2  84.0  17.6
 2  49.2  17.6
 2  59.4  16.0
 2  66.0  18.4
 2  47.4  16.4
 2  33.0  18.8
 2  51.0  14.0
 2  63.0  14.8

T11_02    100    4 format
) Data from Table 11.2, p. 607 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-2.DAT on disk from book
) Salmon data (growth-ring diameters)
) Col. 1: location (1 = Alaskan, 2 = Canadian)
) Col. 2: gender (1 = female, 2 = male)
) Col. 3: X1 = diameter of rings for 1st yr freshwater growth (.01 in)
) Col. 4: X2 = diameter of rings for 1st yr marine growth (.01 in)
)"%lf %lf %lf %lf"
(2f2.0,2f4.0)
 1 2 108 368
 1 1 131 355
 1 1 105 469
 1 2  86 506
 1 1  99 402
 1 2  87 423
 1 1  94 440
 1 2 117 489
 1 2  79 432
 1 1  99 403
 1 1 114 428
 1 2 123 372
 1 1 123 372
 1 2 109 420
 1 2 112 394
 1 1 104 407
 1 2 111 422
 1 2 126 423
 1 2 105 434
 1 1 119 474
 1 1 114 396
 1 2 100 470
 1 2  84 399
 1 2 102 429
 1 2 101 469
 1 2  85 444
 1 1 109 397
 1 2 106 442
 1 1  82 431
 1 2 118 381
 1 1 105 388
 1 1 121 403
 1 1  85 451
 1 1  83 453
 1 1  53 427
 1 1  95 411
 1 1  76 442
 1 1  95 426
 1 2  87 402
 1 1  70 397
 1 2  84 511
 1 2  91 469
 1 1  74 451
 1 2 101 474
 1 1  80 398
 1 1  95 433
 1 2  92 404
 1 1  99 481
 1 2  94 491
 1 1  87 480
 2 1 129 420
 2 1 148 371
 2 1 179 407
 2 2 152 381
 2 2 166 377
 2 2 124 389
 2 1 156 419
 2 2 131 345
 2 1 140 362
 2 2 144 345
 2 2 149 393
 2 1 108 330
 2 1 135 355
 2 2 170 386
 2 1 152 301
 2 1 153 397
 2 1 152 301
 2 2 136 438
 2 2 122 306
 2 1 148 383
 2 2  90 385
 2 1 145 337
 2 1 123 364
 2 2 145 376
 2 2 115 354
 2 2 134 383
 2 1 117 355
 2 2 126 345
 2 1 118 379
 2 2 120 369
 2 1 153 403
 2 2 150 354
 2 1 154 390
 2 1 155 349
 2 2 109 325
 2 2 117 344
 2 1 128 400
 2 1 144 403
 2 2 163 370
 2 2 145 355
 2 1 133 375
 2 1 128 383
 2 2 123 349
 2 1 144 373
 2 2 140 388
 2 2 150 339
 2 2 124 341
 2 1 125 346
 2 1 153 352
 2 1 108 339

T11_04    46    5 format
) Data from Table 11.4 p. 655 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-4.DAT on disk from book
) Bankruptcy data
) Population identifier (0 or 1) moved to column 1
) Col. 1: Population (0 - population 1, 1 = population 2)
) Col. 2: x1 = CF/TD
) Col. 3: x2 = NI/TA
) Col. 4: x3 = CA/CL
) Col. 5: x4 = CA/NS
)"%lf %lf %lf %lf %lf"
(f2.0,4f6.2)
 0 -0.45 -0.41  1.09  0.45
 0 -0.56 -0.31  1.51  0.16
 0  0.06  0.02  1.01  0.40
 0 -0.07 -0.09  1.45  0.26
 0 -0.10 -0.09  1.56  0.67
 0 -0.14 -0.07  0.71  0.28
 0  0.04  0.01  1.50  0.71
 0 -0.07 -0.06  1.37  0.40
 0  0.07 -0.01  1.37  0.34
 0 -0.14 -0.14  1.42  0.43
 0 -0.23 -0.30  0.33  0.18
 0  0.07  0.02  1.31  0.25
 0  0.01  0.00  2.15  0.70
 0 -0.28 -0.23  1.19  0.66
 0  0.15  0.05  1.88  0.27
 0  0.37  0.11  1.99  0.38
 0 -0.08 -0.08  1.51  0.42
 0  0.05  0.03  1.68  0.95
 0  0.01  0.00  1.26  0.60
 0  0.12  0.11  1.14  0.17
 0 -0.28 -0.27  1.27  0.51
 1  0.51  0.10  2.49  0.54
 1  0.08  0.02  2.01  0.53
 1  0.38  0.11  3.27  0.35
 1  0.19  0.05  2.25  0.33
 1  0.32  0.07  4.24  0.63
 1  0.31  0.05  4.45  0.69
 1  0.12  0.05  2.52  0.69
 1 -0.02  0.02  2.05  0.35
 1  0.22  0.08  2.35  0.40
 1  0.17  0.07  1.80  0.52
 1  0.15  0.05  2.17  0.55
 1 -0.10 -0.01  2.50  0.58
 1  0.14 -0.03  0.46  0.26
 1  0.14  0.07  2.61  0.52
 1  0.15  0.06  2.23  0.56
 1  0.16  0.05  2.31  0.20
 1  0.29  0.06  1.84  0.38
 1  0.54  0.11  2.33  0.48
 1 -0.33 -0.09  3.01  0.47
 1  0.48  0.09  1.24  0.18
 1  0.56  0.11  4.29  0.44
 1  0.20  0.08  1.99  0.30
 1  0.47  0.14  2.92  0.45
 1  0.17  0.04  2.45  0.14
 1  0.58  0.04  5.06  0.13

T11_05    150    5 format labels
) Data from Table 11.5 p. 657-658 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-5.DAT on disk from book
) The variety number was moved to column 1
) Measurements on petals of 4 varieties of Iris.  Originally published in
) R. A. Fisher, The use of mltiple measurements in taxonomic problems,
) Annals of Eugenics, 7 (1936) 179-198
) Col. 1: variety number (1 = I. setosa, 2 = I. versicolor,
)                         3 = I. virginica)
) Col. 2: x1 = sepal length
) Col. 3: x2 = sepal width
) Col. 4: x3 = petal length
) Col. 5: x4 = petal width
) Rows 1-50:    group 1 = Iris setosa
) Rows 51-100:  group 2 = Iris versicolor in
) Rows 101-150: group 3 = Iris virginica in
)"%lf %lf %lf %lf %lf"
(f2.0,4f4.1)
 1 5.1 3.5 1.4 0.2
 1 4.9 3.0 1.4 0.2
 1 4.7 3.2 1.3 0.2
 1 4.6 3.1 1.5 0.2
 1 5.0 3.6 1.4 0.2
 1 5.4 3.9 1.7 0.4
 1 4.6 3.4 1.4 0.3
 1 5.0 3.4 1.5 0.2
 1 4.4 2.9 1.4 0.2
 1 4.9 3.1 1.5 0.1
 1 5.4 3.7 1.5 0.2
 1 4.8 3.4 1.6 0.2
 1 4.8 3.0 1.4 0.1
 1 4.3 3.0 1.1 0.1
 1 5.8 4.0 1.2 0.2
 1 5.7 4.4 1.5 0.4
 1 5.4 3.9 1.3 0.4
 1 5.1 3.5 1.4 0.3
 1 5.7 3.8 1.7 0.3
 1 5.1 3.8 1.5 0.3
 1 5.4 3.4 1.7 0.2
 1 5.1 3.7 1.5 0.4
 1 4.6 3.6 1.0 0.2
 1 5.1 3.3 1.7 0.5
 1 4.8 3.4 1.9 0.2
 1 5.0 3.0 1.6 0.2
 1 5.0 3.4 1.6 0.4
 1 5.2 3.5 1.5 0.2
 1 5.2 3.4 1.4 0.2
 1 4.7 3.2 1.6 0.2
 1 4.8 3.1 1.6 0.2
 1 5.4 3.4 1.5 0.4
 1 5.2 4.1 1.5 0.1
 1 5.5 4.2 1.4 0.2
 1 4.9 3.1 1.5 0.2
 1 5.0 3.2 1.2 0.2
 1 5.5 3.5 1.3 0.2
 1 4.9 3.6 1.4 0.1
 1 4.4 3.0 1.3 0.2
 1 5.1 3.4 1.5 0.2
 1 5.0 3.5 1.3 0.3
 1 4.5 2.3 1.3 0.3
 1 4.4 3.2 1.3 0.2
 1 5.0 3.5 1.6 0.6
 1 5.1 3.8 1.9 0.4
 1 4.8 3.0 1.4 0.3
 1 5.1 3.8 1.6 0.2
 1 4.6 3.2 1.4 0.2
 1 5.3 3.7 1.5 0.2
 1 5.0 3.3 1.4 0.2
 2 7.0 3.2 4.7 1.4
 2 6.4 3.2 4.5 1.5
 2 6.9 3.1 4.9 1.5
 2 5.5 2.3 4.0 1.3
 2 6.5 2.8 4.6 1.5
 2 5.7 2.8 4.5 1.3
 2 6.3 3.3 4.7 1.6
 2 4.9 2.4 3.3 1.0
 2 6.6 2.9 4.6 1.3
 2 5.2 2.7 3.9 1.4
 2 5.0 2.0 3.5 1.0
 2 5.9 3.0 4.2 1.5
 2 6.0 2.2 4.0 1.0
 2 6.1 2.9 4.7 1.4
 2 5.6 2.9 3.6 1.3
 2 6.7 3.1 4.4 1.4
 2 5.6 3.0 4.5 1.5
 2 5.8 2.7 4.1 1.0
 2 6.2 2.2 4.5 1.5
 2 5.6 2.5 3.9 1.1
 2 5.9 3.2 4.8 1.8
 2 6.1 2.8 4.0 1.3
 2 6.3 2.5 4.9 1.5
 2 6.1 2.8 4.7 1.2
 2 6.4 2.9 4.3 1.3
 2 6.6 3.0 4.4 1.4
 2 6.8 2.8 4.8 1.4
 2 6.7 3.0 5.0 1.7
 2 6.0 2.9 4.5 1.5
 2 5.7 2.6 3.5 1.0
 2 5.5 2.4 3.8 1.1
 2 5.5 2.4 3.7 1.0
 2 5.8 2.7 3.9 1.2
 2 6.0 2.7 5.1 1.6
 2 5.4 3.0 4.5 1.5
 2 6.0 3.4 4.5 1.6
 2 6.7 3.1 4.7 1.5
 2 6.3 2.3 4.4 1.3
 2 5.6 3.0 4.1 1.3
 2 5.5 2.5 4.0 1.3
 2 5.5 2.6 4.4 1.2
 2 6.1 3.0 4.6 1.4
 2 5.8 2.6 4.0 1.2
 2 5.0 2.3 3.3 1.0
 2 5.6 2.7 4.2 1.3
 2 5.7 3.0 4.2 1.2
 2 5.7 2.9 4.2 1.3
 2 6.2 2.9 4.3 1.3
 2 5.1 2.5 3.0 1.1
 2 5.7 2.8 4.1 1.3
 3 6.3 3.3 6.0 2.5
 3 5.8 2.7 5.1 1.9
 3 7.1 3.0 5.9 2.1
 3 6.3 2.9 5.6 1.8
 3 6.5 3.0 5.8 2.2
 3 7.6 3.0 6.6 2.1
 3 4.9 2.5 4.5 1.7
 3 7.3 2.9 6.3 1.8
 3 6.7 2.5 5.8 1.8
 3 7.2 3.6 6.1 2.5
 3 6.5 3.2 5.1 2.0
 3 6.4 2.7 5.3 1.9
 3 6.8 3.0 5.5 2.1
 3 5.7 2.5 5.0 2.0
 3 5.8 2.8 5.1 2.4
 3 6.4 3.2 5.3 2.3
 3 6.5 3.0 5.5 1.8
 3 7.7 3.8 6.7 2.2
 3 7.7 2.6 6.9 2.3
 3 6.0 2.2 5.0 1.5
 3 6.9 3.2 5.7 2.3
 3 5.6 2.8 4.9 2.0
 3 7.7 2.8 6.7 2.0
 3 6.3 2.7 4.9 1.8
 3 6.7 3.3 5.7 2.1
 3 7.2 3.2 6.0 1.8
 3 6.2 2.8 4.8 1.8
 3 6.1 3.0 4.9 1.8
 3 6.4 2.8 5.6 2.1
 3 7.2 3.0 5.8 1.6
 3 7.4 2.8 6.1 1.9
 3 7.9 3.8 6.4 2.0
 3 6.4 2.8 5.6 2.2
 3 6.3 2.8 5.1 1.5
 3 6.1 2.6 5.6 1.4
 3 7.7 3.0 6.1 2.3
 3 6.3 3.4 5.6 2.4
 3 6.4 3.1 5.5 1.8
 3 6.0 3.0 4.8 1.8
 3 6.9 3.1 5.4 2.1
 3 6.7 3.1 5.6 2.4
 3 6.9 3.1 5.1 2.3
 3 5.8 2.7 5.1 1.9
 3 6.8 3.2 5.9 2.3
 3 6.7 3.3 5.7 2.5
 3 6.7 3.0 5.2 2.3
 3 6.3 2.5 5.0 1.9
 3 6.5 3.0 5.2 2.0
 3 6.2 3.4 5.4 2.3
 3 5.9 3.0 5.1 1.8

T11_05$labels  6  COLUMNS CHARACTER
) Labels for T11_05
) Case labels are expanded from "@"
)"%s %s %s %s %s %s"
@   Variety SepLen  SepWid   PetLen   PetWid

T11_06    85    3 format
) Data from Table 11.6 p. 659 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-6.DAT on disk from book
) Group numbers were moved to column 1
) Admission data from Graduate School of Business
) Col. 1: Group number (1 = admit, 2 = do not admit, 3 = borderline)
) Col. 2: x1 = GPA
) Col. 3: x2 = GMAT
)"%lf %lf %lf"
(f2.0,f5.2,f4.0)
 1 2.96 596
 1 3.14 473
 1 3.22 482
 1 3.29 527
 1 3.69 505
 1 3.46 693
 1 3.03 626
 1 3.19 663
 1 3.63 447
 1 3.59 588
 1 3.30 563
 1 3.40 553
 1 3.50 572
 1 3.78 591
 1 3.44 692
 1 3.48 528
 1 3.47 552
 1 3.35 520
 1 3.39 543
 1 3.28 523
 1 3.21 530
 1 3.58 564
 1 3.33 565
 1 3.40 431
 1 3.38 605
 1 3.26 664
 1 3.60 609
 1 3.37 559
 1 3.80 521
 1 3.76 646
 1 3.24 467
 2 2.54 446
 2 2.43 425
 2 2.20 474
 2 2.36 531
 2 2.57 542
 2 2.35 406
 2 2.51 412
 2 2.51 458
 2 2.36 399
 2 2.36 482
 2 2.66 420
 2 2.68 414
 2 2.48 533
 2 2.46 509
 2 2.63 504
 2 2.44 336
 2 2.13 408
 2 2.41 469
 2 2.55 538
 2 2.31 505
 2 2.41 489
 2 2.19 411
 2 2.35 321
 2 2.60 394
 2 2.55 528
 2 2.72 399
 2 2.85 381
 2 2.90 384
 3 2.86 494
 3 2.85 496
 3 3.14 419
 3 3.28 371
 3 2.89 447
 3 3.15 313
 3 3.50 402
 3 2.89 485
 3 2.80 444
 3 3.13 416
 3 3.01 471
 3 2.79 490
 3 2.89 431
 3 2.91 446
 3 2.75 546
 3 2.73 467
 3 3.12 463
 3 3.08 440
 3 3.03 419
 3 3.00 509
 3 3.03 438
 3 3.05 399
 3 2.85 483
 3 3.01 453
 3 3.03 414
 3 3.04 446

T11_07    56    6 format
) Data from Table 11.7 p. 661 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-7.DAT on disk from book
) Group identification was moved from last column to first and
) made numeric
) Crude oil data
) Col. 1: Zone (1 = Wilhelm, 2 = sub-Mulinia, 3 = Upper
) Col. 2: X1 = vanadium (percent ash)
) Col. 3: X2 = iron (percent ash)
) Col. 4: X3 = beryllium (percent ash)
) Col. 5: X4 = saturated hydrocarbons (percent area)
) Col. 6: X5 = aromatic hydrocarbons (percent area)
)"%lf %lf %lf %lf %lf %lf"
(f2.0,2f5.1,2f5.2,f6.2)
 1  3.9 51.0 0.20 7.06 12.19
 1  2.7 49.0 0.07 7.14 12.23
 1  2.8 36.0 0.30 7.00 11.30
 1  3.1 45.0 0.08 7.20 13.01
 1  3.5 46.0 0.10 7.81 12.63
 1  3.9 43.0 0.07 6.25 10.42
 1  2.7 35.0 0.00 5.11  9.00
 2  5.0 47.0 0.07 7.06  6.10
 2  3.4 32.0 0.20 5.82  4.69
 2  1.2 12.0 0.00 5.54  3.15
 2  8.4 17.0 0.07 6.31  4.55
 2  4.2 36.0 0.50 9.25  4.95
 2  4.2 35.0 0.50 5.69  2.22
 2  3.9 41.0 0.10 5.63  2.94
 2  3.9 36.0 0.07 6.19  2.27
 2  7.3 32.0 0.30 8.02 12.92
 2  4.4 46.0 0.07 7.54  5.76
 2  3.0 30.0 0.00 5.12 10.77
 3  6.3 13.0 0.50 4.24  8.27
 3  1.7  5.6 1.00 5.69  4.64
 3  7.3 24.0 0.00 4.34  2.99
 3  7.8 18.0 0.50 3.92  6.09
 3  7.8 25.0 0.70 5.39  6.20
 3  7.8 26.0 1.00 5.02  2.50
 3  9.5 17.0 0.05 3.52  5.71
 3  7.7 14.0 0.30 4.65  8.63
 3 11.0 20.0 0.50 4.27  8.40
 3  8.0 14.0 0.30 4.32  7.87
 3  8.4 18.0 0.20 4.38  7.98
 3 10.0 18.0 0.10 3.06  7.67
 3  7.3 15.0 0.05 3.76  6.84
 3  9.5 22.0 0.30 3.98  5.02
 3  8.4 15.0 0.20 5.02 10.12
 3  8.4 17.0 0.20 4.42  8.25
 3  9.5 25.0 0.50 4.44  5.95
 3  7.2 22.0 1.00 4.70  3.49
 3  4.0 12.0 0.50 5.71  6.32
 3  6.7 52.0 0.50 4.80  3.20
 3  9.0 27.0 0.30 3.69  3.30
 3  7.8 29.0 1.50 6.72  5.75
 3  4.5 41.0 0.50 3.33  2.27
 3  6.2 34.0 0.70 7.56  6.93
 3  5.6 20.0 0.50 5.07  6.70
 3  9.0 17.0 0.20 4.39  8.33
 3  8.4 20.0 0.10 3.74  3.77
 3  9.5 19.0 0.50 3.72  7.37
 3  9.0 20.0 0.50 5.97 11.17
 3  6.2 16.0 0.05 4.23  4.18
 3  7.3 20.0 0.50 4.39  3.50
 3  3.6 15.0 0.70 7.00  4.82
 3  6.2 34.0 0.07 4.84  2.37
 3  7.3 22.0 0.00 4.13  2.70
 3  4.1 29.0 0.70 5.78  7.76
 3  5.4 29.0 0.20 4.64  2.65
 3  5.0 34.0 0.70 4.21  6.50
 3  6.2 27.0 0.30 3.97  2.97

T11_08    75    3 format
) Data from Table 11.8 p. 663 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-8.DAT on disk from book
) Hemophilia data
) Col. 1: Group (1 = noncarriers, 2 = obligatory carriers)
) Col. 2: X1 = log10(AHF activity)
) Col. 3: X2 = log10(AHF-like antigen)
)"%lf %lf %lf"
(f2.0,2f8.f)
 1 -0.0056 -0.1657
 1 -0.1698 -0.1585
 1 -0.3469 -0.1879
 1 -0.0894  0.0064
 1 -0.1679  0.0713
 1 -0.0836  0.0106
 1 -0.1979 -0.0005
 1 -0.0762  0.0392
 1 -0.1913 -0.2123
 1 -0.1092 -0.1190
 1 -0.5268 -0.4773
 1 -0.0842  0.0248
 1 -0.0225 -0.0580
 1  0.0084  0.0782
 1 -0.1827 -0.1138
 1  0.1237  0.2140
 1 -0.4702 -0.3099
 1 -0.1519 -0.0686
 1  0.0006 -0.1153
 1 -0.2015 -0.0498
 1 -0.1932 -0.2293
 1  0.1507  0.0933
 1 -0.1259 -0.0669
 1 -0.1551 -0.1232
 1 -0.1952 -0.1007
 1  0.0291  0.0442
 1 -0.2280 -0.1710
 1 -0.0997 -0.0733
 1 -0.1972 -0.0607
 1 -0.0867 -0.0560
 2 -0.3478  0.1151
 2 -0.3618 -0.2008
 2 -0.4986 -0.0860
 2 -0.5015 -0.2984
 2 -0.1326  0.0097
 2 -0.6911 -0.3390
 2 -0.3608  0.1237
 2 -0.4535 -0.1682
 2 -0.3479 -0.1721
 2 -0.3539  0.0722
 2 -0.4719 -0.1079
 2 -0.3610 -0.0399
 2 -0.3226  0.1670
 2 -0.4319 -0.0687
 2 -0.2734 -0.0020
 2 -0.5573  0.0548
 2 -0.3755 -0.1865
 2 -0.4950 -0.0153
 2 -0.5107 -0.2483
 2 -0.1652  0.2132
 2 -0.2447 -0.0407
 2 -0.4232 -0.0998
 2 -0.2375  0.2876
 2 -0.2205  0.0046
 2 -0.2154 -0.0219
 2 -0.3447  0.0097
 2 -0.2540 -0.0573
 2 -0.3778 -0.2682
 2 -0.4046 -0.1162
 2 -0.0639  0.1569
 2 -0.3351 -0.1368
 2 -0.0149  0.1539
 2 -0.0312  0.1400
 2 -0.1740 -0.0776
 2 -0.1416  0.1642
 2 -0.1508  0.1137
 2 -0.0964  0.0531
 2 -0.2642  0.0867
 2 -0.0234  0.0804
 2 -0.3352  0.0875
 2 -0.1878  0.2510
 2 -0.1744  0.1892
 2 -0.4055 -0.2418
 2 -0.2444  0.1614
 2 -0.4784  0.0282

T11_08B   10    2 format
) New cases to be classified on p. 660 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) They are to be classified using classifier based on data in Table
) 11.8
) These data were edited from file T11-8B.DAT on disk from book
) Hemophilia data
) Col. 1: X1 = log10(AHF activity)
) Col. 2: X2 = log10(AHF-like antigen)
)"%lf %lf"
(f7.f,f8.3)
 -0.112  -0.279
 -0.059  -0.068
  0.064   0.012
 -0.043  -0.052
 -0.050  -0.098
 -0.094  -0.113
 -0.123  -0.143
 -0.011  -0.037
 -0.210  -0.090
 -0.126  -0.019

T11_09    43    9 format
) Data from Table 11.9 p. 664-665 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T11-9.DAT on disk from book
) Manufacturer recoded as G = General Mills -> 1, K = Kellogg -> 2,
) Q = Quaker -> 3 and group variable in last column eliminated
) Typo in case 11 variable 7 corrected
) Data on brands of cereal
) Col. 0: Brand of cereal (skipped by format)
) Col. 1: Manufacturer (1 = G, 2 = K, 3 = Q)
) Col. 2: Calories
) Col. 3: Protein
) Col. 4: Fat
) Col. 5: Sodium
) Col. 6: Fiber
) Col. 7: Carbohydrates
) Col. 8: Sugar
) Col. 9: Potassium
)"23x %f %f %f %f %f %f %f %f %f"
(23x,f2.0,f4.0,2f2.0,f4.0,f4.1,f5.1,f3.0,f4.0)
ACCheerios              1 110 2 2 180 1.5  10.5 10  70
Cheerios                1 110 6 2 290 2.0  17.0  1 105
CocoaPuffs              1 110 1 1 180 0.0  12.0 13  55
CountChocula            1 110 1 1 180 0.0  12.0 13  65
GoldenGrahams           1 110 1 1 280 0.0  15.0  9  45
HoneyNutCheerios        1 110 3 1 250 1.5  11.5 10  90
Kix                     1 110 2 1 260 0.0  21.0  3  40
LuckyCharms             1 110 2 1 180 0.0  12.0 12  55
MultiGrainCheerios      1 100 2 1 220 2.0  15.0  6  90
OatmealRaisinCrisp      1 130 3 2 170 1.5  13.5 10 120
RaisinNutBran           1 100 3 2 140 2.5  10.5  8 140
TotalCornFlakes         1 110 2 1 200 0.0  21.0  3  35
TotalRaisinBran         1 140 3 1 190 4.0  15.0 14 230
TotalWholeGrain         1 100 3 1 200 3.0  16.0  3 110
Trix                    1 110 1 1 140 0.0  13.0 12  25
Cheaties                1 100 3 1 200 3.0  17.0  3 110
WheatiesHoneyGold       1 110 2 1 200 1.0  16.0  8  60
AllBran                 2  70 4 1 260 9.0   7.0  5 320
AppleJacks              2 110 2 0 125 1.0  11.0 14  30
CornFlakes              2 100 2 0 290 1.0  21.0  2  35
CornPops                2 110 1 0  90 1.0  13.0 12  20
CracklinOatBran         2 110 3 3 140 4.0  10.0  7 160
Crispix                 2 110 2 0 220 1.0  21.0  3  30
FrootLoops              2 110 2 1 125 1.0  11.0 13  30
FrostedFlakes           2 110 1 0 200 1.0  14.0 11  25
FrostedMiniWheats       2 100 3 0   0 3.0  14.0  7 100
FruitfulBran            2 120 3 0 240 5.0  14.0 12 190
JustRightCrunchyNuggets 2 110 2 1 170 1.0  17.0  6  60
MueslixCrispyBlend      2 160 3 2 150 3.0  17.0 13 160
NutNHoneyCrunch         2 120 2 1 190 0.0  15.0  9  40
NutriGrainAlmondRaisin  2 140 3 2 220 3.0  21.0  7 130
NutriGrainWheat         2  90 3 0 170 3.0  18.0  2  90
Product19               2 100 3 0 320 1.0  20.0  3  45
RaisinBran              2 120 3 1 210 5.0  14.0 12 240
RiceKrispies            2 110 2 0 290 0.0  22.0  3  35
Smacks                  2 110 2 1  70 1.0   9.0 15  40
SpecialK                2 110 6 0 230 1.0  16.0  3  55
CapNCrunch              3 120 1 2 220 0.0  12.0 12  35
HoneyGrahamOhs          3 120 1 2 220 1.0  12.0 11  45
Life                    3 100 4 2 150 2.0  12.0  6  95
PuffedRice              3  50 1 0   0 0.0  13.0  0  15
PuffedWheat             3  50 2 0   0 1.0  10.0  0  50
QuakerOatmeal           3 100 5 2   0 2.7   1.0  1 110

T12_01    22    22 format
) Data from Table 12.1 p. 672 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-1.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Distances between 22 utilities based on data in Table 12.5, p. 687
) in data set T12_05
)"%f %f %f %f %f %f %f %f %f %f %f %f"
(12f5.2/10f5.2)
 0.00 3.10 3.68 2.46 4.12 3.61 3.90 2.74 3.25 3.10 3.49 3.22
 3.96 2.11 2.59 4.03 4.40 1.88 2.41 3.17 3.45 2.51
 3.10 0.00 4.92 2.16 3.85 4.22 3.45 3.89 3.96 2.71 4.79 2.43
 3.43 4.32 2.50 4.84 3.62 2.90 4.63 3.00 2.32 2.42
 3.68 4.92 0.00 4.11 4.47 2.99 4.22 4.99 2.75 3.93 5.90 4.03
 4.39 2.74 5.16 5.26 6.36 2.72 3.18 3.73 5.09 4.11
 2.46 2.16 4.11 0.00 4.13 3.20 3.97 3.69 3.75 1.49 4.86 3.50
 2.58 3.23 3.19 4.97 4.89 2.65 3.46 1.82 3.88 2.58
 4.12 3.85 4.47 4.13 0.00 4.60 4.60 5.16 4.49 4.05 6.46 3.60
 4.76 4.82 4.26 5.82 5.63 4.34 5.13 4.39 3.64 3.77
 3.61 4.22 2.99 3.20 4.60 0.00 3.35 4.91 3.73 3.83 6.00 3.74
 4.55 3.47 4.07 5.84 6.10 2.85 2.58 2.91 4.63 4.03
 3.90 3.45 4.22 3.97 4.60 3.35 0.00 4.36 2.80 4.51 6.00 1.66
 5.01 4.91 2.93 5.04 4.58 2.95 4.52 3.54 2.68 4.00
 2.74 3.89 4.99 3.69 5.16 4.91 4.36 0.00 3.59 3.67 3.46 4.06
 4.14 4.34 3.85 2.20 5.43 3.24 4.11 4.09 3.98 3.24
 3.25 3.96 2.75 3.75 4.49 3.73 2.80 3.59 0.00 3.57 5.18 2.74
 3.66 3.82 4.11 3.63 4.90 2.43 4.11 2.95 3.74 3.21
 3.10 2.71 3.93 1.49 4.05 3.83 4.51 3.67 3.57 0.00 5.08 3.94
 1.41 3.61 4.26 4.53 5.48 3.07 4.13 2.05 4.36 2.56
 3.49 4.79 5.90 4.86 6.46 6.00 6.00 3.46 5.18 5.08 0.00 5.21
 5.31 4.32 4.74 3.43 4.75 3.95 4.52 5.35 4.88 3.44
 3.22 2.43 4.03 3.50 3.60 3.74 1.66 4.06 2.74 3.94 5.21 0.00
 4.50 4.34 2.33 4.62 3.50 2.45 4.41 3.43 1.38 3.00
 3.96 3.43 4.39 2.58 4.76 4.55 5.01 4.14 3.66 1.41 5.31 4.50
 0.00 4.39 5.10 4.41 5.61 3.78 5.01 2.23 4.94 2.74
 2.11 4.32 2.74 3.23 4.82 3.47 4.91 4.34 3.82 3.61 4.32 4.34
 4.39 0.00 4.24 5.17 5.56 2.30 1.88 3.74 4.93 3.51
 2.59 2.50 5.16 3.19 4.26 4.07 2.93 3.85 4.11 4.26 4.74 2.33
 5.10 4.24 0.00 5.18 3.40 3.00 4.03 3.78 2.10 3.35
 4.03 4.84 5.26 4.97 5.82 5.84 5.04 2.20 3.63 4.53 3.43 4.62
 4.41 5.17 5.18 0.00 5.56 3.97 5.23 4.82 4.57 3.46
 4.40 3.62 6.36 4.89 5.63 6.10 4.58 5.43 4.90 5.48 4.75 3.50
 5.61 5.56 3.40 5.56 0.00 4.43 6.09 4.87 3.10 3.63
 1.88 2.90 2.72 2.65 4.34 2.85 2.95 3.24 2.43 3.07 3.95 2.45
 3.78 2.30 3.00 3.97 4.43 0.00 2.47 2.92 3.19 2.55
 2.41 4.63 3.18 3.46 5.13 2.58 4.52 4.11 4.11 4.13 4.52 4.41
 5.01 1.88 4.03 5.23 6.09 2.47 0.00 3.90 4.97 3.97
 3.17 3.00 3.73 1.82 4.39 2.91 3.54 4.09 2.95 2.05 5.35 3.43
 2.23 3.74 3.78 4.82 4.87 2.92 3.90 0.00 4.15 2.62
 3.45 2.32 5.09 3.88 3.64 4.63 2.68 3.98 3.74 4.36 4.88 1.38
 4.94 4.93 2.10 4.57 3.10 3.19 4.97 4.15 0.00 3.01
 2.51 2.42 4.11 2.58 3.77 4.03 4.00 3.24 3.21 2.56 3.44 3.00
 2.74 3.51 3.35 3.46 3.63 2.55 3.97 2.62 3.01 0.00

T12_04    11    11 format labels
) Data from Table 12.4 p. 679 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-4.DAT on disk from book
) The upper triangle has been filled in symmetrically and row
) and column labels added
) Concordant first letters for numbers in 11 languages
) Languages are in order E=English, N=Norwegian, Da=Danish,
) Du=Dutch, G=German, Fr=French, Sp=Spanish, I=Italian,
) P=Polish, H=Hungarian, Fi=Finnish
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf"
(f3.0,10f4.0)
 10   8   8   3   4   4   4   4   3   1   1
  8  10   9   5   6   4   4   4   3   2   1
  8   9  10   4   5   4   5   5   4   2   1
  3   5   4  10   5   1   1   1   0   2   1
  4   6   5   5  10   3   3   3   2   1   1
  4   4   4   1   3  10   8   9   5   0   1
  4   4   5   1   3   8  10   9   7   0   1
  4   4   5   1   3   9   9  10   6   0   1
  3   3   4   0   2   5   7   6  10   0   1
  1   2   2   2   1   0   0   0   0  10   2
  1   1   1   1   1   1   1   1   1   2  10

T12_04$LABELS    22 QUOTED COLUMNS
) Row and column labels for T12_04
)"%s %s %s %s %s %s %s %s %s %s %s"
"E"  "N"  "Da" "Du" "G"  "Fr" "Sp" "I"  "P"  "H"  "Fi"
"E"  "N"  "Da" "Du" "G"  "Fr" "Sp" "I"  "P"  "H"  "Fi"

T12_05    22    8 format labels
) Data from Table 12.5 p. 687 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-5.DAT on disk from book
) Public Utility data (1975)
) Col. 1: X1 = fixed-charge coverage ratio (income/debt)
) Col. 2: X2 = rate of return on capital
) Col. 3: X3 = cost per KW capacity in place
) Col. 4: X4 = annual load factor
) Col. 5: X5 = peak KWH demand growth from 1974 to 1975
) Col. 6: X6 = sales (KWH use per year)
) Col. 7: X7 = percent nuclear
) Col. 8: X8 = total fuel costs (cents per KWH)
) Col. 9: Utility name (skipped by format)
)"%lf %lf %lf %lf %lf %lf %lf %lf"
(f5.2,f5.1,f4.0,2f5.1,f6.0,f5.1,f6.3)
 1.06  9.2 151 54.4  1.6  9077  0.0 0.628 Arizona_Public_Service
 0.89 10.3 202 57.9  2.2  5088 25.3 1.555 Boston_Edison_Co.
 1.43 15.4 113 53.0  3.4  9212  0.0 1.058 Central_Louisiana_Electric_Co.
 1.02 11.2 168 56.0  0.3  6423 34.3 0.700 Commonwealth_Edison_Co.
 1.49  8.8 192 51.2  1.0  3300 15.6 2.044 Consolidated_Edison_Co._(N.Y.)
 1.32 13.5 111 60.0 -2.2 11127 22.5 1.241 Florida_Power_&_Light_Co.
 1.22 12.2 175 67.6  2.2  7642  0.0 1.652 Hawaiian_Electric_Co.
 1.10  9.2 245 57.0  3.3 13082  0.0 0.309 Idaho_Power_Co.
 1.34 13.0 168 60.4  7.2  8406  0.0 0.862 Kentucky_Utilities_Co.
 1.12 12.4 197 53.0  2.7  6455 39.2 0.623 Madison_Gas_&_Electric_Co.
 0.75  7.5 173 51.5  6.5 17441  0.0 0.768 Nevada_Power_Co.
 1.13 10.9 178 62.0  3.7  6154  0.0 1.897 New_England_Electric_Co.
 1.15 12.7 199 53.7  6.4  7179 50.2 0.527 Northern_States_Power_Co.
 1.09 12.0  96 49.8  1.4  9673  0.0 0.588 Oklahoma_Gase_&_Electric_Co.
 0.96  7.6 164 62.2 -0.1  6468  0.9 1.400 Pacific_Gas_&_Electric_Co.
 1.16  9.9 252 56.0  9.2 15991  0.0 0.620 Puget_Sound_Power_&_Light_Co.
 0.76  6.4 136 61.9  9.0  5714  8.3 1.920 San_Diego_Gas_&_Electric_Co.
 1.05 12.6 150 56.7  2.7 10140  0.0 1.108 The_Southern_Co.
 1.16 11.7 104 54.0 -2.1 13507  0.0 0.636 Texas_Utilities_Co.
 1.20 11.8 148 59.9  3.5  7287 41.1 0.702 Wisconsin_Electric_Power_Co.
 1.04  8.6 204 61.0  3.5  6650  0.0 2.116 United_Illuminating_Co.
 1.07  9.3 174 54.3  5.9 10093 26.6 1.306 Virginia_Electric_&_Power_Co.

T12_05$labels 30 character columns
) Row and column labels for data set T12_05
)"%s %s %s %s %s %s"
AZPubSer BostonEd CentLa  CommEd   ConsolEd FlaPowLt
HIElect  IdahoPow KYUtils MadGasEl NevPower NewEngEl
NSP      OKGasEl  PGandE  PSPL     SDGEC    Southern
TXUtils  WisElPow UI      VAElPow  FCCRatio Return
CapCost  LoadFact PeakKWH Sales    Nuclear  TotalCost


T12_06    8    8 format
) Data from Table 12.6 p. 688 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-6.DAT on disk from book
) The upper triangle has been filled in symmetrically
) Correlations for public utility data
)"%lf %lf %lf %lf %lf %lf %lf %lf"
(8f7.3)
  1.000  0.643 -0.103 -0.082 -0.259 -0.152  0.045 -0.013
  0.643  1.000 -0.348 -0.086 -0.260 -0.010  0.211 -0.328
 -0.103 -0.348  1.000  0.100  0.435  0.028  0.115  0.005
 -0.082 -0.086  0.100  1.000  0.034 -0.288 -0.164  0.486
 -0.259 -0.260  0.435  0.034  1.000  0.176 -0.019 -0.007
 -0.152 -0.010  0.028 -0.288  0.176  1.000 -0.374 -0.561
  0.045  0.211  0.115 -0.164 -0.019 -0.374  1.000 -0.185
 -0.013 -0.328  0.005  0.486 -0.007 -0.561 -0.185  1.000

T12_07    12    12 format
) Data from Table 12.7 p. 703 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-7.DAT on disk from book
) Airline-distances between 12 cities
) Upper triangle has been filled in
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf %lf"
(12f5.0)
    0 1068  461  549  805  508  505 2197  366  558 2467  467 Atlanta
 1068    0  867  769 1819  941 1494 3052 1355 1178 2747 1379 Boston
  461  867    0  107  943  108  618 2186  502  338 2067  928 Cincinnati
  549  769  107    0 1050  172  725 2245  586  409 2131  985 Columbus
  805 1819  943 1050    0  882  325 1403  464  645 1891 1077 Dallas
  508  941  108  172  882    0  562 2080  436  234 1959  975 Indianapolis
  505 1494  618  725  325  562    0 1701  137  353 1988  912 Little_Rock
 2197 3052 2186 2245 1403 2080 1701    0 1831 1848 1227 2480 Los_Angeles
  366 1355  502  586  464  436  137 1831    0  294 2042  779 Memphis
  558 1178  338  409  645  234  353 1848  294    0 1820 1016 St.Louis
 2467 2747 2067 2131 1891 1959 1988 1227 2042 1820    0 2821 Spokane
  467 1379  928  985 1077  975  912 2480  779 1016 2821    0 Tampa

T12_08    7    4 format labels
) Data from Table 12.8 p. 709 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-8.DAT on disk from book
) Final column of row totals and final row of column totals deleted
) Frequencies of types of pottery
) Col. 0: Site (P0, P1, ..., P6), skipped by format
) Col. 1: Frequencies for type A pottery
) Col. 2: Frequencies for type B pottery
) Col. 3: Frequencies for type C pottery
) Col. 4: Frequencies for type D pottery
)"%f %f %f %f"
(4f5.0)
   30   10   10   39
   53    4   16    2
   73    1   41    1
   20    6    1    4
   46   36   37   13
   45    6   59   10
   16   28  169    5

T12_08$LABELS    11 QUOTED COLUMNS
) Row and column labels for data set T12_08
)"%s %s %s %s %s %s %s"
"P0" "P1" "P2" "P3" "P4" "P5" "P6"
"A"  "B"  "C"  "D"

T12_09    25    6 format
) Data from Table 12.9 p. 722 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-9.DAT on disk from book
) Data on Universities
) Col. 0: University name (skipped by format)
) Col. 1: SAT = average SAT score of new freshmen
) Col. 2: Top10 = percentage of new freshmen in top 10% of class
) Col. 3: Accept = percentage of applicants accepted
) Col. 4: SFRatio = student-faculty ratio
) Col. 5: Expenses = estimated annual expenses
) Col. 6: Grad = graduation rate
)"15x %f %f %f %f %f %f"
(15x,f6.2,f4.0,2f3.0,f7.3,f3.0)
Harvard         14.00  91 14 11 39.525 97
Princeton       13.75  91 14  8 30.220 95
Yale            13.75  95 19 11 43.514 96
Stanford        13.60  90 20 12 36.450 93
MIT             13.80  94 30 10 34.870 91
Duke            13.15  90 30 12 31.585 95
Cal_Tech        14.15 100 25  6 63.575 81
Dartmouth       13.40  89 23 10 32.162 95
Brown           13.10  89 22 13 22.704 94
Johns_Hopkins   13.05  75 44  7 58.691 87
U_Chicago       12.90  75 50 13 38.380 87
U_Penn          12.85  80 36 11 27.553 90
Cornell         12.80  83 33 13 21.864 90
Northwestern    12.60  85 39 11 28.052 89
Columbia        13.10  76 24 12 31.510 88
NotreDame       12.55  81 42 13 15.122 94
U_Virginia      12.25  77 44 14 13.349 92
Georgetown      12.55  74 24 12 20.126 92
Carnegie_Mellon 12.60  62 59  9 25.026 72
U_Michigan      11.80  65 68 16 15.470 85
UC_Berkeley     12.40  95 40 17 15.140 78
U_Wisconsin     10.85  40 69 15 11.857 71
Penn_State      10.81  38 54 18 10.185 80
Purdue          10.05  28 90 19  9.066 69
Texas_A&M       10.75  49 67 25  8.704 67

T12_10    8    10 format labels
) Data from Table 12.10 p. 787 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-10.DAT on disk from book
) Wisconsin Forest data
) Col. 0: Tree species (skipped by format)
) Col. 1-10: counts at sites 1 - 10
)"12x %f %f %f %f %f %f %f %f %f %f"
(12x,10f3.0)
Burr_Oak      9  8  3  5  6  0  5  0  0  0
Black_Oak     8  9  8  7  0  0  0  0  0  0
White_Oak     5  4  9  9  7  7  4  6  0  2
Red_Oak       3  4  0  6  9  8  7  6  4  3
American_Elm  2  2  4  5  6  0  5  0  2  5
Basswood      0  0  0  0  2  7  6  6  7  6
Ironwood      0  0  0  0  0  0  7  4  6  5
Sugar_Maple   0  0  0  0  0  5  4  8  8  9

T12_10$LABELS    18 QUOTED COLUMNS
) Row and column labels for data set T12_10
)"%s %s %s %s %s"
"BurOak"    "BlackOak"  "WhiteOak"   "RedOak"  "AmericanElm"
"Basswood"  "Ironwood"  "SugarMaple"  "Site1"  "Site2"
"Site3"     "Site4"     "Site5"       "Site6"  "Site7"
"Site8"     "Site9"     "Site10"

T12_12    12    12 format
) Data from Table 12.12 p. 743 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-12.DAT on disk from book
) with upper triangle filled in
) Distance between cities in Wisconsin and cities in neighboring
) states.
(f4.0,11f5.0)
   0  130   98  102  103  100  149  315   91  196  257  186 Appleton
 130    0   33   50  185   73   33  377  186   94  304   97 Beloit
  98   33    0   36  164   54   58  359  166  119  287  113 Fort_Atkinson
 102   50   36    0  138   77   47  330  139   95  258  146 Madison
 103  185  164  138    0  184  170  219   45  186  161  276 Marshfield
 100   73   54   77  184    0  107  394  181  168  322   93 Milwaukee
 149   33   58   47  170  107    0  362  186   61  289  130 Monroe
 315  377  359  330  219  394  362    0  223  351  162  467 Superior
  91  186  166  139   45  181  186  223    0  215  175  275 Wausau
 196   94  119   95  186  168   61  351  215    0  274  184 Dubuque
 257  304  287  258  161  322  289  162  175  274    0  395 St.Paul
 186   97  113  146  276   93  130  467  275  184  395    0 Chicago

T12_13    9    9 format
) Data from Table 12.13 p. 745 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-13.DAT on disk from book
) with upper triangle filled in
) Distance between archeological sites
)"%lf %lf %lf %lf %lf %lf %lf %lf %lf"
(9f6.3)
 0.000 2.202 1.004 1.108 1.122 0.914 0.914 2.056 1.608 P1980918
 2.202 0.000 2.025 1.943 1.870 2.070 2.186 2.055 1.722 P1931131
 1.004 2.025 0.000 0.233 0.719 0.719 0.452 1.986 1.358 P1550960
 1.108 1.943 0.233 0.000 0.541 0.679 0.681 1.990 1.168 P1530987
 1.122 1.870 0.719 0.541 0.000 0.539 1.102 1.963 0.681 P1361024
 0.914 2.070 0.719 0.679 0.539 0.000 0.916 2.056 1.005 P1351005
 0.914 2.186 0.452 0.681 1.102 0.916 0.000 2.027 1.719 P1340945
 2.056 2.055 1.986 1.990 1.963 2.056 2.027 0.000 1.991 P1311137
 1.608 1.722 1.358 1.168 0.681 1.005 1.719 1.991 0.000 P1301062

T12_14    4    5 format
) Data from Table 12.14 p. 745 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-14.DAT on disk from book
) Mental health status and socioeconomic status count data
) Col. 0: Menal helath status (skipped by format)
) Col. 1 count of parental socioeconomic status A (high)
) Col. 2 count of parental socioeconomic status B
) Col. 3 count of parental socioeconomic status C
) Col. 4 count of parental socioeconomic status D
) Col. 5 count of parental socioeconomic status E (low)
)"17x %f %f %f %f %f"
(17x,5f6.0)
Well                121    57    72    36    21
Mild_Symptoms       188   105   141    97    71
Moderate_Symptoms   112    65    77    54    54
Impaired             86    60    94    78    71

T12_15    3    4 format
) Data from Table 12.15 p. 745 in
) Applied Mulivariate Statistical Analysis, 5th Edition
) by Richard A. Johnson and Dean W. Wichern, Prentice Hall, 2002
) These data were edited from file T12-15.DAT on disk from book
) Income and job satisfaction data
) Col. 0: Income class (skipped by format)
)         low = < $25K, middle = $25K-$50K, high = > $50K
) Col. 1: Count of very dissatisfied individuals
) Col. 2: Count of somewhat dissatisfied individuals
) Col. 3: Count of moderately satisfied individuals
) Col. 4: Count of very satisfied individuals
)"6x %f %f %f %f"
(6x,4f5.0)
Low      42   62  184  207
Middle   13   28   81  113
High      7   18   54   92