Does anybody know how I can constrain the correlation between two random effect to be 1?
I know about the PARMS statement (with the hold option), but with this statement I can constrain the Co-variance, but is there a direct way to constrain the correlation itself?
I don't know whether this will work, but it is possible to specify the covariance structure as being based on the correlations, using type=unr. From there, it seems possible that you could constrain a correlation to be a fixed value.
Steve Denham
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.