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
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
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.