Use the table below to learn more about PLS graphs.

PLS Graph | Definition | Use to... |
---|---|---|

Model selection plot | Scatterplot of the R^{2} and predicted R^{2} values as a function of the number of components. The vertical line indicates the number of components in the optimal model. |
Compare the modeling and predictive powers of models with different numbers of components. |

Response plot | Scatterplot of the fitted and cross-validated responses versus the actual responses. | Show how well the model fits and predicts. Large differences in fitted and cross-validated values identify leverage points. |

Coefficient plot | Projected scatterplot of the unstandardized regression coefficients. | View the sign and the magnitude of the relationship between predictors and responses. |

Standardized coefficient plot | Projected scatterplot of the standardized regression coefficients | View the sign and the magnitude of the relationship between predictors and responses when predictors are not on the same scale. |

Distance plot | Scatterplot of each observation's distance from the x-model and distance from y-model. | Identify leverage points and outliers. |

Residual histogram | Histogram of the standardized residuals. | Verify the normality of your residuals. Histograms should show a bell-shaped distribution. |

Residual normal probability plot | Scatterplot of the standardized residuals versus the normal scores. | Verify the normality of your residuals. Points should follow a straight line. |

Residual versus fit plot | Scatterplot of the standardized residuals versus the fitted responses. | Identify outliers and check for patterns in the residuals. |

Residual versus leverage plot | Scatterplot of the standardized residuals versus leverages. | Identify outliers and leverage points at the same time. |

Residual fourpack | Arrangement of histogram of the residuals, normal probability plot of the residuals, residual versus fit plot, and residual versus order plot on one page. | View residual plots at the same time. |

Score plot | Scatterplot of the x-scores from the first and second components. | Display the overall arrangement of the data using the first two components to identify leverage points or clusters of points. |

3D score plot | 3D scatterplot of the x-scores from the first, second, and third components. | Display the overall arrangement of the data using the first three components to identify leverage points or clusters of points. |

Loading plot | Connected scatterplot of the x-loadings from the first and second components. | Display the correlation between the loadings of each predictor on the first and second components. Compare the importance of predictors to the model. |

Residual X plot | Connected scatterplot of the x-residuals, in which each line represents an observation and has as many points as predictors. | Identify observations or predictors that are not well explained by the model. |

Calculated X plot | Connected scatterplot of the x-calculated values, in which each line represents an observation and has as many points as predictors. | Identify observations or predictors that are not well explained by the model. |