PROC LOGISTIC DATA=myData; CLASS outcome; MODEL model (REFERENCE ='5') x1 x2 x3 / LINK = GLOGIT; RUN; My experience is that: To run multinomial logit model, PROC LOGISTIC can handle large-scale analysis with many variables and cases. PROC CATMOD stop running if the model is too complex with too many cases. PROC CATMOD is quicker to get the results if the model is not too complex and the dataset has manageable size.
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