Related Procedures

The GLM Multivariate procedure is useful for modeling the linear relationship between several dependent scale variable and one or more categorical and scale predictors.

• If there is a single dependent variable, you can use the GLM Univariate procedure, which allows you to add random factors to the model.
• If there is a single dependent variable, you can use the Linear Mixed Models procedure, which provides functionality for specifying the covariance matrix for random factors and repeated effects.
• If you measured the same dependent variable more than once, use the GLM Repeated Measures procedure.
• The Discriminant Analysis procedure is related in the sense that it is the "inverse" of a multivariate analysis of variance with a single factor. A single-factor MANOVA attempts to model the values of several scale variables based upon each case's "category" as defined by the factor. Discriminant analysis attempts to predict the value of a factor based upon the values of several scale variables.