PLS - Quick Tab

Select the Quick tab of the PLS dialog box to access options to select variables for the analysis, determine the analysis type (regression or classification), identify codes for categorical variables (response and factors), and form a test sample for validating the results.

See also, MSPC Technical Notes and PCA and PLS Technical Notes.

Element Name Description
Variables Click the Variables button to display a three-list variable selection dialog box. In order to perform a PLS analysis in a meaningful way, select at least two predictors and one dependent variable. Predictor variables can be continuous and/or categorical.
Categorical responses (categorical dependent variables) Select this check box to designate the dependent variable as categorical, i.e., to perform a classification analysis. When this check box is selected, the Response codes button (see below) will become active, provided you have specified a dependent variable. Note that if this check box is not selected, the response variables will be treated as continuous and, accordingly, the problem will be treated as regression.
Response codes This button is available only if a dependent variable has been specified and the Categorical responses check box (see above) is selected. In this case, the dependent variable is assumed to be categorical in nature, and the objective of the analysis is then to correctly classify the cases (observations) into groups specified by the dependent variable. Click the Response codes button to display the Select response codes dialog box, which contains options to select codes for the dependent variables. The list of codes can be displayed by clicking the Zoom button in this dialog box. Note that you must select at least two codes for the selected dependent variable.
Factor codes This option is available after variables have been selected and only if they include at least one categorical variable. Click this button to display the Select factor codes dialog box, which contains options to select codes for the categorical factors. The list of codes can be displayed by clicking the Zoom button in this dialog. Note that you must select at least two codes for the selected categorical factor.
Test sample Click this button to display the Test sample identifier dialog box, where you can select a sample identifier variable and a code for that variable that uniquely identify the data cases to be used as the test sample. The test sample will not be used by the analysis for building (training) the model. It is rather used as an independent sample for checking the validity of the model and testing the accuracy of its prediction on unseen data.