### Parameterization of Model Effects

PROC HPFMM constructs a finite mixture model according to the specifications in the CLASS
, MODEL
, and PROBMODEL
statements. Each effect in the MODEL
statement generates one or more columns in the matrix for that model. The same matrix applies to all components that are associated with the MODEL
statement. Each effect in the PROBMODEL
statement generates one or more columns in the matrix from which the linear predictors in the model for the mixture probability models is formed. The same matrix applies to all components.

The formation of effects from continuous and classification variables in the HPFMM procedure follows the same general rules
and techniques as for other linear modeling procedures. For information about constructing the model effects, see the section
Specification and Parameterization of Model Effects in SAS/STAT 14.1 User's Guide: High-Performance Procedures.