PLS Syntax - Example 2: Multivariate Regression with Categorical Predictors

This example illustrates the specification for a PLS multiple regression problem with two dependent variables and categorical predictors. In this example, we also assume that we are interested in the first 10 components of PLS.

Note: brief descriptive comments are enclosed in curly brackets. You can run this example with the example data file Exp.sta.

PLS;

{ Dependent variable list: }

   DEPENDENT = STRESS_R CORRECT3;

{ Specification of grouping variables (factors); note that

  optional grouping codes (values) are specified to identify

  the (selected) groups in the categorical predictors. }

   GROUPS = GENDER ("MALE" "FEMALE")

            TIME   (1 2 3);

{ Specification of continuous predictor variables (covariates) }

   COVARIATE = CORRECT1 CORRECT2;

{ Here the bar operator is used to construct the full factorial

  design for the categorical predictor variables; the bar operator

  will evaluate to all main effects and interactions

  between the grouping variables. }

   DESIGN =  CORRECT1+CORRECT2+GENDER|TIME;

{ The maximum number of components to be extracted is set

   to 10. }

   NCOMPO =10;

For more examples, see PLS Syntax - Examples.