data          50     5 LABELS
) Artifical one-way MANOVA data with p = 4 variables and 
) g = 4 groups
) n_1 = 3, n_2 = 11, n_3 = 16, n_4 = 10
) Col. 1: Factor group with levels 1, 2, 3, 4
) Col. 2: Response Y1
) Col. 3: Response Y2
) Col. 4: Response Y3
) Col. 5: Response Y4
)"%lf %lf %lf %lf %lf"
   1  30.747  31.674  30.792  32.505
   1  30.327  30.594  30.343  30.936
   1  32.755  32.078  29.166  29.702
   1  30.268  30.321  28.911  30.668
   1  33.144  30.423  29.032  29.924
   1  29.465  30.125  28.673  30.645
   1  31.008  30.329  29.780  30.172
   1  30.470  29.857  30.028  29.069
   1  31.365  29.364  29.284  28.251
   1  30.374  30.601  30.394  30.064
   1  29.486  31.423  31.704  29.887
   1  30.884  27.698  31.437  30.695
   1  31.146  29.619  31.019  28.937
   2  31.462  29.807  31.538  29.443
   2  32.305  29.848  32.304  31.029
   2  30.147  30.426  29.684  28.991
   2  29.832  29.302  31.830  31.057
   2  29.936  29.039  32.418  31.310
   2  31.924  32.032  30.461  31.532
   2  31.396  30.792  30.555  30.804
   2  29.177  32.058  30.774  31.525
   2  29.849  30.123  30.891  31.464
   2  31.052  30.422  29.304  32.322
   2  29.916  30.764  29.852  30.267
   3  30.468  29.920  29.622  31.056
   3  31.338  31.161  31.311  30.785
   3  31.180  30.892  30.459  29.472
   3  29.575  29.631  31.695  30.830
   3  30.399  30.453  33.607  32.088
   3  28.789  30.784  30.243  31.510
   3  31.546  32.405  31.134  31.038
   3  32.546  30.751  31.158  30.379
   3  31.386  31.182  30.034  32.857
   3  30.011  30.790  30.423  32.763
   3  31.629  30.951  30.170  30.878
   3  31.417  31.843  30.274  30.585
   3  31.746  31.395  33.317  29.838
   3  31.969  32.049  32.993  32.384
   3  32.193  30.448  33.084  31.342
   3  31.389  31.202  30.302  29.577
   4  31.847  31.948  30.949  32.101
   4  32.437  30.333  30.638  31.851
   4  31.855  30.528  32.025  30.862
   4  30.536  31.920  31.912  32.180
   4  30.808  31.851  31.428  32.120
   4  32.036  31.297  31.743  30.261
   4  31.099  29.774  30.976  31.076
   4  31.444  31.354  32.551  30.569
   4  31.904  33.341  31.717  31.044
   4  31.741  30.363  31.454  30.469

data$LABELS     6 QUOTED COLUMNS
)"%s %s %s %s %s %s"
"@"     "Group" "Y1"    "Y2"    "Y3"      "Y4"