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# goodfit()

Usage:
 ```goodfit(s,lhat,psihat), REAL symmetric matrix lhat REAL vector or matrix, psihat REAL vector, all with no MISSING values ```

Keywords: factor analysis
```goodfit(r, L, psi), where r is a p by p symmetric correlation or
variance-covariance matrix, L is a REAL p by m matrix of purported
factor loadings, and psi is a length p REAL vector of factor analysis
uniquenesses computes three measures of lack of fit of r to the factor
analytic approximation rhat = L %*% L' + dmat(psi).

If dev = vector(r - rhat) is the length p^2 vector of deviations of r
from rhat, then goodfit() returns
vector(max(abs(dev)), sum(dev^2), sum(abs(dev)))

When L and psi have been computed by some factor analysis estimation
method, and one or more of the elements of the result is large it may
indicate lack of fit of r to the factor analytic model.

These are intended to describe how bad the fit is, not to test it.
```

Gary Oehlert 2003-01-15