The TRANSREG procedure can fit many standard linear models. In addition, PROC TRANSREG can find nonlinear transformations of the data and fit a linear model to the transformed variables. This is in contrast to PROC REG and PROC GLM, which fit linear models to data, or PROC NLIN, which fits nonlinear models to data. The TRANSREG procedure fits many types of linear models, including the following:

• ordinary regression and ANOVA

• metric and nonmetric conjoint analysis

• metric and nonmetric vector and ideal point preference mapping

• simple, multiple, and multivariate regression with variable transformations

• redundancy analysis with variable transformations

• canonical correlation analysis with variable transformations

• response surface regression with variable transformations