DOCUMENTATION
  • Software
    • Software
    • SAS Viya
    • Industries
    • Solutions
    • Products
  • Learn
    • Learn
    • Training
    • Certification
    • Academics
    • Books
    • Video Tutorials
  • Support
    • Support
    • Communities
    • Documentation
    • Developers
    • Support & Services
    • User Groups
  • About Us
    • About Us
    • Why SAS?
    • Company
    • Careers
    • Newsroom
    • Events
    • Contact Us
  • Explore
    • Explore
    • Try & Buy
    • Why SAS?
    • Customer Stories
    • Partners
    • Consulting
  • Software
  • SAS Viya
  • Industries
  • Solutions
  • Products
  • Learn
  • Training
  • Certification
  • Academics
  • Books
  • Video Tutorials
  • Support
  • Communities
  • Documentation
  • Developers
  • Support & Services
  • User Groups
  • About Us
  • Why SAS?
  • Company
  • Careers
  • Newsroom
  • Events
  • Contact Us
  • Explore
  • Try & Buy
  • Why SAS?
  • Customer Stories
  • Partners
  • Consulting
  • Contact Us
Sign In

Create Profile

My SAS

Get access to My SAS, trials, communities and more.

SAS Sites

sas.com
Support
Blogs
Communities
Developer
Curiosity
Videos

Documentation

Learn
Brand
PartnerNet
Merchandise
SAS® Help Center
SAS® 9.4 and SAS® Viya® 3.5 Programming Documentation
SAS 9.4 / Viya 3.5
|PDF 
Feedback
 
  • Welcome to SAS Programming Documentation for SAS® 9.4 and SAS® Viya® 3.5
  • What's New
  • Syntax Quick Links
  • SAS Viya Programming
  • Data Access
  • SAS Analytics 15.4
    • SAS/ETS
    • SAS/IML
    • SAS/OR
    • SAS/QC
    • SAS/STAT
      • SAS/STAT User's Guide
        • Procedures by Category
        • What’s New in SAS/STAT 15.4
        • Introduction
        • Introduction to Statistical Modeling with SAS/STAT Software
        • Introduction to Regression Procedures
        • Introduction to Analysis of Variance Procedures
        • Introduction to Mixed Modeling Procedures
        • Introduction to Bayesian Analysis Procedures
        • Introduction to Categorical Data Analysis Procedures
        • Introduction to Multivariate Procedures
        • Introduction to Discriminant Procedures
        • Introduction to Clustering Procedures
        • Introduction to Scoring, Standardization, and Ranking Procedures
        • Introduction to Survival Analysis Procedures
        • Introduction to Survey Sampling and Analysis Procedures
        • The Four Types of Estimable Functions
        • Introduction to Nonparametric Analysis
        • Introduction to Structural Equation Modeling with Latent Variables
        • Introduction to Power and Sample Size Analysis
        • Shared Concepts and Topics
        • Shared Concepts in High-Performance Computing
        • Shared Concepts and Topics in High-Performance Statistical Procedures
        • Using the Output Delivery System
        • Statistical Graphics Using ODS
        • ODS Graphics Template Modification
        • Customizing the Kaplan-Meier Survival Plot
        • The ACECLUS Procedure
        • The ADAPTIVEREG Procedure
        • The ANOVA Procedure
        • The BCHOICE Procedure
        • The BGLIMM Procedure
        • The BOXPLOT Procedure
        • The CALIS Procedure
        • The CANCORR Procedure
        • The CANDISC Procedure
        • The CATMOD Procedure
        • The CAUSALGRAPH Procedure
        • The CAUSALMED Procedure
        • The CAUSALTRT Procedure
        • The CLUSTER Procedure
        • The CORRESP Procedure
        • The DISCRIM Procedure
        • The DISTANCE Procedure
        • The FACTOR Procedure
        • The FASTCLUS Procedure
        • The FMM Procedure
        • The FREQ Procedure
        • The GAM Procedure
        • The GAMPL Procedure
        • The GEE Procedure
        • The GENMOD Procedure
        • The GLIMMIX Procedure
        • The GLM Procedure
        • The GLMMOD Procedure
        • The GLMPOWER Procedure
        • The GLMSELECT Procedure
        • The HPCANDISC Procedure
        • The HPFMM Procedure
        • The HPGENSELECT Procedure
        • The HPLMIXED Procedure
        • The HPLOGISTIC Procedure
        • The HPMIXED Procedure
        • The HPNLMOD Procedure
        • The HPPLS Procedure
        • The HPPRINCOMP Procedure
        • The HPQUANTSELECT Procedure
        • The HPREG Procedure
        • The HPSPLIT Procedure
        • The ICLIFETEST Procedure
        • The ICPHREG Procedure
        • The INBREED Procedure
        • The IRT Procedure
        • The KDE Procedure
        • The KRIGE2D Procedure
        • The LATTICE Procedure
        • The LIFEREG Procedure
        • The LIFETEST Procedure
        • The LOESS Procedure
        • The LOGISTIC Procedure
        • The MCMC Procedure
        • The MDS Procedure
        • The MI Procedure
        • The MIANALYZE Procedure
        • The MIXED Procedure
        • The MODECLUS Procedure
        • The MULTTEST Procedure
        • The NESTED Procedure
        • The NLIN Procedure
        • The NLMIXED Procedure
        • The NPAR1WAY Procedure
        • The ORTHOREG Procedure
        • The PHREG Procedure
        • The PLAN Procedure
        • The PLM Procedure
        • The PLS Procedure
        • The POWER Procedure
        • The Power and Sample Size Application
        • The PRINCOMP Procedure
        • The PRINQUAL Procedure
        • The PROBIT Procedure
        • The PSMATCH Procedure
        • The QUANTLIFE Procedure
        • The QUANTREG Procedure
        • The QUANTSELECT Procedure
        • The REG Procedure
        • The RMSTREG Procedure
        • The ROBUSTREG Procedure
        • The RSREG Procedure
        • The SCORE Procedure
        • The SEQDESIGN Procedure
        • The SEQTEST Procedure
        • The SIM2D Procedure
        • The SIMNORMAL Procedure
        • The SPP Procedure
        • The STDIZE Procedure
        • The STDRATE Procedure
        • The STEPDISC Procedure
        • The SURVEYFREQ Procedure
        • The SURVEYIMPUTE Procedure
        • The SURVEYLOGISTIC Procedure
        • The SURVEYMEANS Procedure
        • The SURVEYPHREG Procedure
        • The SURVEYREG Procedure
        • The SURVEYSELECT Procedure
        • The TPSPLINE Procedure
        • The TRANSREG Procedure
        • The TREE Procedure
        • The TTEST Procedure
        • The VARCLUS Procedure
        • The VARCOMP Procedure
        • The VARIOGRAM Procedure
        • Special SAS Data Sets
        • Sashelp Data Sets
      • SAS/STAT User's Guide: High-Performance Procedures
    • SAS Forecast Server
    • SAS Text Miner: High-Performance Procedures
    • SAS Enterprise Miner: High-Performance Procedures
    • OPTGRAPH Procedure
  • Base SAS Procedures
  • DATA Step Programming
  • SAS Code Debugging
  • Global Statements
  • System Options
  • SAS Component Objects
  • DS2 Programming
  • FedSQL Programming
  • Macro Language Reference
  • Output and Graphics
  • Operating Environments
  • Moving and Accessing SAS Files
  • In-Database Technologies
  • Metadata
  • SAS Interface to Application Response Measurement (ARM)
  • Security
  • SAS Servers
  • SAS Data Quality
  • Learning SAS Programming
  • Accessibility for Base
  • SAS Visual Analytics
  • SAS Studio
  • SAS Enterprise Guide
  • SAS 9.4 Administration
  • SAS Viya: Administration
  • Other Resources
SAS/STAT User's Guide
 

Procedures by Category

  • Overview
  • Analysis of Variance
  • Bayesian Analysis
  • Categorical Data Analysis
  • Causal 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
  • Postprocessing
  • Power and Sample Size
  • Predictive Modeling
  • Psychometric Analysis
  • Quantile Regression
  • Regression
  • Robust Regression
  • Spatial Analysis
  • Standardization
  • Structural Equation Models
  • Survey Sampling and Analysis
  • Survival Analysis
Last updated: May 19, 2025
Privacy Statement Terms of Use 
Copyright © SAS Institute Inc. All Rights Reserved