The PLS Procedure 
ODS Graphics 
This section describes the use of ODS for creating statistical graphs with the PLS procedure. To request these graphs you must specify the ODS GRAPHICS statement. For more information about the ODS GRAPHICS statement, see Chapter 21, Statistical Graphics Using ODS.
When the ODS GRAPHICS are in effect, by default the PLS procedure produces a plot of the variation accounted for by each extracted factor, as well as a correlation loading plot for the first two extracted factors (if the final model has at least two factors). The plot of the variation accounted for can take several forms:
If the PLS analysis does not include cross validation, then the plot shows the total R square for both model effects and the dependent variables against the number of factors.
If you specify the CV= option to select the number of factors in the final model by cross validation, then the plot shows the Rsquare analysis discussed previously as well as the root mean PRESS from the cross validation analysis, with the selected number of factors identified by a vertical line.
The correlation loading plot for the first two factors summarizes many aspects of the two most significant dimensions of the model. It consists of overlaid scatter plots of the scores of the first two factors, the loadings of the model effects, and the loadings of the dependent variables. The loadings are scaled so that the amount of variation in the variables that is explained by the model is proportional to the distance from the origin; circles indicating various levels of explained variation are also overlaid on the correlation loading plot. Also, the correlation between the model approximations for any two variables is proportional to the length of the projection of the point corresponding to one variable on a line through the origin passing through the point corresponding to the other variable; the sign of the correlation corresponds to which side of the origin the projected point falls on.
The R square and the first two correlation loadings are plotted by default when the ODS GRAPHICS are in effect, but you can produce many other plots for the PROC PLS analysis.
PROC PLS assigns a name to each graph it creates using ODS. You can use these names to reference the graphs when using ODS. The names are listed in Table 66.2.
To request these graphs you must specify the ODS GRAPHICS statement. For more information about the ODS GRAPHICS statement, see Chapter 21, Statistical Graphics Using ODS.
ODS Graph Name 
Plot Description 
Option 

CorrLoadPlot 
Correlation loading plot (default) 
PLOT=CORRLOAD(option) 
CVPlot 
Cross validation and Rsquare analysis (default, as appropriate) 

DModXPlot 
Distance of each observation to the X model 
PLOT=DMODX 
DModXYPlot 
Distance of each observation to the X and Y models 
PLOT=DMODXY 
DModYPlot 
Distance of each observation to the Y model 
PLOT=DMODY 
DiagnosticsPanel 
Panel of summary diagnostics for the fit 
PLOT=DIAGNOSTICS 
AbsResidualByPredicted 
Absolute residual by predicted values 
PLOT=DIAGNOSTICS(UNPACK) 
ObservedByPredicted 
Observed by predicted 
PLOT=DIAGNOSTICS(UNPACK) 
QQPlot 
Residual QQ plot 
PLOT=DIAGNOSTICS(UNPACK) 
ResidualByPredicted 
Residual by predicted values 
PLOT=DIAGNOSTICS(UNPACK) 
ResidualHistogram 
Residual histogram 
PLOT=DIAGNOSTICS(UNPACK) 
RFPlot 
RF plot 
PLOT=DIAGNOSTICS(UNPACK) 
ParmProfiles 
Profiles of regression coefficients 
PLOT=PARMPROFILES 
R2Plot 
Rsquare analysis (default, as appropriate) 

ResidualPlots 
Residuals for each dependent variable 
PLOT=RESIDUALS 
VariableImportancePlot 
Profile of variable importance factors 
PLOT=VIP 
XLoadingPlot 
Scatter plot matrix of Xloadings against each other 
PLOT=XLOADINGPLOT 
XLoadingProfiles 
Profiles of the Xloadings 
PLOT=XLOADINGPROFILES 
XScorePlot 
Scatter plot matrix of Xscores against each other 
PLOT=XSCORES 
XWeightPlot 
Scatter plot matrix of Xweights against each other 
PLOT=XWEIGHTPLOT 
XWeightProfiles 
Profiles of the Xweights 
PLOT=XWEIGHTPROFILES 
XYScorePlot 
Scatter plot matrix of Xscores against Yscores 
PLOT=XYSCORES 
YScorePlot 
Scatter plot matrix of Yscores against each other 
PLOT=YSCORES 
YWeightPlot 
Scatter plot matrix of Yweights against each other 
PLOT=YWEIGHTPLOT 
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