HPLOGISTIC Procedure
The HPLOGISTIC procedure is a highperformance statistical procedure that fits logistic regression models for binary, binomial, and multinomial data.
The following are highlights of the HPLOGISTIC procedure's features:
 provides modelbuilding syntax with the CLASS and effectbased MODEL statements
 provides responsevariable 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
 enables you to run in distributed mode on a cluster of machines that distribute the data and the computations
 enables you to run in singlemachine 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

For further details see the HPLOGISTIC Procedure
Examples