mlmtst  R Documentation 
Computes the sum of squares,
degrees of freedom, pseudoF statistics and
partial Rsquared for
each predictor from a multivariate fit
.
It also returns the eigenvalues of
the residual covariance matrix.
mlmtst(fit, X, subset = NULL, tol = 0.001)
fit 
multivariate fit obtained by 
X 
design matrix obtained by 
subset 
subset of predictors for which summary
statistics will be reported.
Note that this is different from the
" 
tol 

Different types of sums of squares
(i.e. "I
", "II
" and
"III
") are available.
A list containing:
SS 
sums of squares for all predictors (and residuals). 
df 
degrees of freedom for all predictors (and residuals). 
f.tilde 
pseudoF statistics for all predictors. 
r2 
partial Rsquared for all predictors. 
e 
eigenvalues of the residual covariance matrix. 
Diego GarridoMartÃn
AS204
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