The HPGENSELECT Procedure

estimates the parameters of a generalized linear regression model by using maximum likelihood techniques

provides model-building syntax in the CLASS statement and the effect-based MODEL statement, which are familiar from SAS/STAT procedures (in particular, the GLM, GENMOD, LOGISTIC, GLIMMIX, and MIXED procedures)

enables you to split classification effects into individual components by using the SPLIT option in the CLASS statement

permits any degree of interaction effects that involve classification and continuous variables

provides multiple link functions

provides models for zero-inflated count data

provides cumulative link modeling for ordinal data and generalized logit modeling for unordered multinomial data

enables model building (variable selection) through the SELECTION statement

provides a WEIGHT statement for weighted analysis

provides a FREQ statement for grouped analysis

provides an OUTPUT statement to produce a data set that has predicted values and other observationwise statistics

enables you to run in distributed mode on a cluster of machines that distribute the data and the computations

enables you to run in single-machine mode on the server where SAS is installed

exploits all the available cores and concurrent threads, regardless of execution mode