First, the full AB model must be run in order to obtain the values of random effect variance at which subsequent models must be fixed. The covariance parameters in this example include both random effect variances (due to the inclusion of random slopes and intercepts across subjects) and residual variance; these parameters can be saved into a new dataset using ODS (Table 5).
