English Abstract The SAS procedure GLM (General Linear Model) uses the
method of least squares to fit general linear models. Among the statistical
methods available in PROC GLM are regression, analysis of variance
(especially for unbalanced data), analysis of covariance, multivariate
analyses of variance and repeated measures analysis of variance. Special
features in the SAS procedure GLM are: the four types of sum of squares and
the estimable functions. Any degree of interaction can be specified, for
instance: cross effects, nested effects and continuous-by-class
effects.
