COUNTREG Procedure

The following new features have been added to the COUNTREG procedure:

• The CLASS statement is now supported. A CLASS statement enables you to declare classification variables for use as explanatory effects in a model. When a CLASS variable is used as a predictor in the MODEL statement, the procedure automatically creates a dummy regressor that corresponds to each discrete value or level of the CLASS variable.

• The MODEL statement now supports the use of CLASS variables and interaction terms as predictors.

• The FREQ statement is now supported. A FREQ statement specifies a variable whose values indicate the number of cases that are represented by each observation. That is, the procedure treats each observation as if it had appeared times in the input data set, where is the value of the FREQ variable.

• The WEIGHT statement is now supported. A WEIGHT statement specifies a variable whose values supply weights for each observation in the dataset. These weights control the importance (weight) given to the data observations in fitting the model.

• The NLOPTIONS statement enables you to specify options for the subsystem that is used for the nonlinear optimization.