• Print  |
  • Feedback  |


Regression Procedures

Regression Analysis

The REG procedure provides the most general analysis capabilities for the linear regression model. However, many other procedures can fit linear regression models, and many procedures are specifically designed for more general regression problems, such as robust regression, generalized linear regression, nonlinear regression, nonparametric regression, regression modeling of survey data, regression modeling of survival data, and regression modeling of transformed variables.

Below are highlights of the capabilities of the SAS/STAT procedures that perform regression analysis: