SAS/STAT software is of interest to users of SAS High-Performance Forecasting software because many econometric and other statistical methods not included in SAS High-Performance Forecasting software are provided in SAS/STAT software.

SAS/STAT software includes procedures for a wide range of statistical methodologies, including the following:

• logistic regression

• censored regression

• principal component analysis

• structural equation models using covariance structure analysis

• factor analysis

• survival analysis

• discriminant analysis

• cluster analysis

• categorical data analysis, including log-linear and conditional logistic models

• general linear models

• mixed linear and nonlinear models

• generalized linear models

• response surface analysis

• kernel density estimation

• LOESS regression

• spline regression

• two-dimensional kriging

• multiple imputation for missing values