Yes, I tried, however, I did not get sucess. For example, I would like to generate the predicted values for a mixed model. For example, using the data previously datalines sugested by Ivm, but including an additional "study" variable, I produced the following code: data a; input x1 y study; id = _n_; datalines; 0 2 1 1 4 1 2 3 1 3 6 2 4 6 2 5 5 2 6 8 3 7 10 3 8 9 3 9 9 3 ; run; proc print data=a; run; %macro jk; ods listing exclude all; data parms2; %do i = 1 %to 10; data b; set a; if (id eq &i) then weight=0; else weight=1; run; proc print data=b;run; proc mixed data=b; ods output parameterestimates=parms; class study; weight weight; model y = x1; RANDOM study / SOLUTION; run; data parms2; set parms2 parms; %end; ods listing ; proc print data=parms2; %mend jk; %jk; run; However, I did not get the parameters of mixed equations. In addition, I am trying to get a dataset with predicted and observed values, using the leave-one-out cross validation approach. Regards
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