Related Procedures

The Linear Mixed Models procedure is a useful tool for fitting many different kinds of linear models. In many situations, the models that you can create in other procedures are special cases of the linear mixed model.

• The model used in the One-Way ANOVA procedure is equivalent to fitting a linear mixed model with one fixed factor.
• The model used in the Linear Regression procedure is equivalent to fitting a linear mixed model with one or more covariates and no factors.
• The full model used in the GLM Univariate procedure is equivalent to fitting a linear mixed model without repeated effects, and the random effects are restricted to the Scaled Identity covariance structure.
• The full model used in the Variance Components procedures is equivalent to fitting a linear mixed model without repeated effects, and the random effects are restricted to the Scaled Identity covariance structure.