Is there a way that I can run a joint multivariate model that allows all intercepts and slopes to covary but does not allow level-1 residuals to covary across variables. I am using SAS OnDemand for Academics and the following code will not run. proc mixed data=homework3 method=ML noclprint; class school dv; model popst= conss const sexs sext/ noint s; random conss sexs sext const/ sub=school type=un; repeated dv / subject=school*pupil type= UN(1); run;
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