- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Discriminant Analysis
- Distribution Analysis
- Exact Inference
- Finite Mixture Models
- Group Sequential Design and Analysis
- Longitudinal Data Analysis
- Market Research
- Missing Data Analysis
- Mixed Models
- Model Selection
- Multivariate Analysis
- Nonlinear Regression
- Nonparametric Analysis
- Nonparametric Regression
- Post Processing
- Power and Sample Size
- Predictive Modeling
- Psychometric Analysis
- Quantile Regression
- Regression
- Robust Regression
- Spatial Analysis
- Standardization
- Structural Equations Models
- Survey Sampling and Analysis
- Survival Analysis
- SAS/STAT Procedures A-Z

The HPSPLIT procedure is a high-performance procedure that builds tree-based statistical models for classification and regression. The procedure produces classification trees, which model a categorical response, and regression trees, which model a continuous response. Both types of trees are referred to as decision trees because the model is expressed as a series of if-then statements.

For further details see the SAS/STAT User's Guide: The HPSPLIT Procedure ( PDF | HTML )