Linear Mixed Models

The Linear Mixed Models procedure expands the general linear model so that the error terms and random effects are permitted to exhibit correlated and non-constant variability. The linear mixed model, therefore, provides the flexibility to model not only the mean of a response variable, but its covariance structure as well.

To know more, go to Base Edition> Core Features>Linear Mixed Models

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