For more information on these graphs, go to PLS regression graphs.

For more information on some of these statistics, go to Leverages and distances for Partial Least Squares Regression and Coefficients and standardized coefficients for Partial Least Squares Regression.

- Model selection plot
- Plot the R
^{2}values for the each model. If you use cross-validation, Minitab also displays the predicted R^{2}values for each model. The plot also indicates the number of components selected for the model. - Response plot
- Plot the fitted and cross-validated responses versus the actual responses.
- Coefficient plot
- Plot the unstandardized regression coefficients for each predictor.
- Std coefficient plot
- Plot the standardized regression coefficients for each predictor.
- Distance Plot
- Plot each observation's distance from the x-model and distance from the y-model.

For more information, go to Residual plots in Minitab.

- Residual histogram
- Display a histogram of the standardized residuals.
- Residual normal plot
- Display a normal probability plot of the standardized residuals.
- Residual versus fit
- Display the standardized residuals versus the fitted values.
- Residual versus leverage
- Display the standardized residuals versus the leverage values.
- Residual fourpack
- Display all four residual plots together in one graph.

For more information on these statistics, go to X- and y-statistics for Partial Least Squares Regression.

- Score plot
- Display the x-scores of the first component versus the second component.
- 3D score plot
- Display the x-scores of the first component, the second component, and the third component.
- Loading plot
- Display the x-loadings of the first component versus the second component.
- Residual X plot
- Display a line plot of the residual x-values.
- Calculated X plot
- Display a line plot of the fitted x-values.