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.