Select the Quick tab of the PLS Results dialog box to access the options described here. Note that there are two sets of buttons; click the left buttons to display results in a spreadsheet, click the right buttons to display results in a graph.

Summary. Click the Summary buttons to display your results with the R-squared and increase in R-squared values for the components extracted in the analysis. Specifically, the spreadsheet will show 1) the averaged R-squared values and increase in average R-squared values for the predictor (X) variables, 2) the averaged R-squared values and increase in average R-squared values for the dependent (response or Y) variables, and 3) the R-squared values for each dependent (response) variable (if more than one dependent (response) variable was selected for the analysis). Unlike in STATISTICA General Linear Model (GLM) or Multiple Regression, these R-squared values are computed relative to the sums of squared deviations from the origin (0.0) for the centered (de-meaned) predictor or and dependent (response) variable. So these results will not be identical to those computed in, for example, GLM or Multiple Regression.

Note: statistics for verification (cross-validation) samples. If you explicitly specified a training (analysis) sample via the Cross-validation button on the PLS Quick Specs - Options tab, or via the SAMPLE keyword in a PLS syntax program, and the data file includes observations in the cross-validation (verification) sample, then the Summary spreadsheet and graph will include two additional elements: First, in the spreadsheet the line (i.e., respective Number of components, see PLS Results) that produces the smallest PRESS statistic will be highlighted, and second, the PRESS statistic for the respective number of components will be shown in the last column of the spreadsheet. In the summary graph, the number of components that yielded the smallest PRESS statistic will be indicated by a vertical line.

Weights for X. Click the Weights for X button to display a spreadsheet (left button) or a line graph (right button) of the W (predictor) Weights for each component. For details about these weights and the computations performed in the PLS analysis, see Computational Approach or the Partial Least Squares (PLS) Index.