Are there any messages in the LOG? How large is the input data set? How many levels are there to the categorical variables?
I would probably start by reducing the size of the models, especially if there are lot of levels to the categorical variables.
Instead of using all the categorical variables for the DISCRIM models, what happens when you use only a few predictors in each model.
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