Multivariate Methods • Partial Least Squares Models • Model Fit Options
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Model Fit Options
The Model Fit red triangle menu contains the following options:
Percent Variation Plots
Adds two plots entitled Percent Variation Explained for X Effects and Percent Variation Explained for Y Effects. These show stacked bar charts representing the percent variation explained by each extracted factor for the Xs and Ys.
Variable Importance Plot
Plots the VIP values for each X variable. VIP scores appear in the Variable Importance Table. See Variable Importance Plot.
VIP vs Coefficients Plots
Plots the VIP statistics against the model coefficients. You can show only those points corresponding to your selected Ys. Additional labeling options are provided. There are plots for both the centered and scaled data and the original data. See VIP vs Coefficients Plots.
Set VIP Threshold
Sets the threshold level for the Variable Importance Plot, Variance Importance Table, and the VIP vs Coefficients Plots.
Coefficient Plots
Plots the model coefficients for each response across the X variables. You can show only those points corresponding to your selected Ys. There are plots for both the centered and scaled data and the original data.
Loading Plots
Plots X and Y loadings for each extracted factor. There are separate plots for the Xs and Ys.
Loading Scatterplot Matrices
Shows scatterplot matrices of the X loadings and the Y loadings.
Correlation Loading Plot
Shows either a single scatterplot or a scatterplot matrix of the X and Y loadings overlaid on the same plot. When you select the option, you specify how many factors you want to plot.
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If you specify two factors, a single correlation loading scatterplot appears. Select the two factors that define the axes beneath the plot. Click the right arrow button to successively display each combination of factors on the plot.
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If you specify more than two factors, a scatterplot matrix appears with a cell for pair of factors up to the number that you selected.
In both cases, use check boxes to control labeling.
X-Y Score Plots
Includes the following options:
Fit Line Shows or hides a fitted line through the points on the X-Y Scores Plots.
Show Confidence Band Shows or hides 95% confidence bands for the fitted lines on the X-Y Scores Plots. These should be used only for outlier detection.
Score Scatterplot Matrices
Shows a scatterplot matrix of the X scores and a scatterplot matrix of the Y scores. Each X score scatterplot displays a 95% confidence ellipse, which can be used for outlier detection. For statistical details about the confidence ellipses, see Confidence Ellipses for X Score Scatterplot Matrix.
Distance Plots
Shows plots of the following:
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the distance from each observation to the X model
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the distance from each observation to the Y model
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a scatterplot of distances to both the X and Y models
In a good model, both X and Y distances are small, so the points are close to the origin (0,0). Use the plots to look for outliers relative to either X or Y. If a group of points clusters together, then they might have a common feature and could be analyzed separately. When a validation set or a validation and test set are in use, separate reports are provided for these sets and for the training set.
T Square Plot
Shows a plot of T2 statistics for each observation, along with a control limit. An observation’s T2 statistic is calculated based on that observation’s scores on the extracted factors. For details about the computation of T2 and the control limit, see T2 Plot.
Diagnostics Plots
Shows diagnostic plots for assessing the model fit. Four plot types are available: Actual by Predicted Plot, Residual by Predicted Plot, Residual by Row Plot, and a Residual Normal Quantile Plot. Plots are provided for each response. When a validation set or a validation and test set are in use, separate reports are provided for these sets and for the training set.
Profiler
shows a profiler for each Y variable.
Spectral Profiler
Shows a single profiler where all of the response variables appear in the first cell of the plot. This profiler is useful for visualizing the effect of changes in the X variables on the Y variables simultaneously.
Save Columns
Includes options for saving various formulas and results. See Save Columns.
Remove Fit
Removes the model report from the main platform report.
Make Model Using VIP
Opens and populates a launch window with the appropriate responses entered as Ys and the variables whose VIPs exceed the specified threshold entered as Xs. Performs the same function as the button in the VIP vs Coefficients for Centered and Scaled Data report. See VIP vs Coefficients Plots.

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Help created on 9/19/2017