The HPLOGISTIC Procedure

The HPLOGISTIC procedure estimates the parameters of a logistic regression model by using maximum likelihood techniques. It also does the following:

provides model-building syntax with the CLASS and effect-based MODEL statements, which are familiar from SAS/STAT analytic procedures (in particular, the GLM, LOGISTIC, GLIMMIX, and MIXED procedures)
provides response-variable options as in the LOGISTIC procedure
performs maximum likelihood estimation
provides multiple link functions
provides cumulative link models 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 with predicted probabilities and other observationwise statistics

Because the HPLOGISTIC procedure is a high-performance statistical procedure, it also does the following:

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
performs parallel reads of input data and parallel writes of output data when the data source is the appliance database