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.
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.