PROC MIXED can handle this kind-of, sort-of through the doubly repeated measures covariance structures. PROC GLIMMIX can also do this in a kind-of, sort-of manner as in the Example: Joint Modeling of Binary and Count Data, where the distribution of different variables can be specified. The really hard part is specifying multiple variables from the same family, say 4 Gaussian variables, a count and a proportion. I haven't been able to figure that one out. Several variables, each with a different distribution, can be done, with patience.
Steve Denham
xtc283x wrote:
Besides Proc GLM, which SAS statistical or regression modeling procedures allow the specification of multiple dependent variables?
PROC PLS
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