Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to yzing linear models with the SAS System. This clearly written guide will show you how to apply the appropriate procedure to your data ysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: multivariate linear models, lack-of-fit ysis, covariance and heterogeneity of slopes, a classification with both crossed and nested effects, and ysis of variance for balanced data. Supports releases 6.09 and higher of SAS software.
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