You can get these estimates in a couple ways. What might be the most efficient is to include "dummy" data for the next year for each store in the input data set, with the response variable set to . Then, use the OUTP= option on the MODEL statement to generate a dataset that will have the predicted values for all observations, including those not used in fitting the model (i.e., those with the response variable set to missing for the next year).
Steve Denham