Dear SAS Community,
I'm having issues when trying to run a multifactorial RCBD model that includes depth as a split block factor, date as repeated measures, and a weight statement since I'm combining data of two experiments. I get WARNING: Obtaining minimum variance quadratic unbiased estimates as starting values for the covariance parameters failed. Although I noticed that if I remove the weight statement, I stop getting that warning and SAS is able to provide results. Also, for another dependent variable I don't have any problem when using the same model.
I went back to the model used to get the residuals for that variable and even though I got results, I noticed this warning: MIVQUE0 estimate of profiled variance is linearly related to other covariance parameters.
This is the model I used to obtain residuals to calculate weights:
Proc glimmix data=one; by Exp; class blk Trt Rate Depth Date; model RL=Trt|Rate|Depth|Date/dist=lognormal ddfm=bw/*to get residual variances*/; random intercept Trt*Rate Depth Trt*Rate*Depth Date Trt*Date Depth*Date Trt*Rate*Depth*Date/subject=blk; random Date/residual subject=blk(Trt*Rate Depth Trt*Rate*Depth Date Trt*Date Depth*Date Trt*Rate*Depth*Date) type=cs; lsmeans Trt*Rate*Depth*Date;/*to get the error DF*/ run;
I wonder if the random statements are correct (including date as repeated measures, and depth as split-block factor within the model).
Thank you so much for your support!
Caroline
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