Stat > Regression > Partial Least Squares > Results
Method
Display the method table, which includes information about cross-validation and the number of components in the analysis.
Analysis of
variance
Display the ANOVA table, one for each response in the model.
Model
selection
Display the fitted and the cross-validated sums of squares, the x-variance value, the R2 value, and the predicted R2 value for each model calculated. If you do not choose to cross-validate the model, the cross-validated sums of squares and the predicted R2 do not appear in the output.
Coefficients
Display the standardized and the unstandardized regression coefficients for the predictors.
Fits and
residuals
Display the calculated fitted values, the residuals, the standardized residuals, the cross-validated fitted values, and the cross-validated residuals. If you do not choose to cross-validate the model, the cross-validated fitted values and the cross-validated residuals do not appear on the output.
Leverages and
distances
Display the leverage values, the distances from the x-model, and the distances from the y-model.
Prediction
Display the predicted values for the new observations table.
X scores
Display the x-scores for each observation.
X loadings
Display the loadings for each predictor.
X
residuals
Display the residuals for the x-matrix.
X
calculated
Display the calculated values for the x-matrix.
Y scores
Display the y-scores for each observation.
Y loadings
Display the loadings for each response.
Y
residuals
Display the residuals for the y-matrix. The y-residuals are the same as the residuals for the model.
Y
calculated
Display the calculated values for the y-matrix. The y-calculated values are the same as the fitted values for the model.
