proc plm


No cake for spunky
This sounds interesting, do you know anything about it hlsmith?

Proc plm performs various analyses and plotting functions after an initial regression model is fit, including custom hypothesis testing of model effects and contrasts, calculating predicted values of the outcome (scoring), and plotting these predictions. Unlike most other SAS procedures, proc plm does not take a dataset as input, but instead uses an item store, which contains information about the regression model fit in another procedure. The item store can be created by many of the commonly used regression procedures, such as glm, genmod, logistic, phreg, mixed, glimmix and several others, through a store statement where we simply need to supply the name of an item store. This name for the item store is then supplied to the restore option (previously source in earlier versions of SAS) on the proc plm statement as input.