JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Multivariate Methods
•
Partial Least Squares Models
•
Partial Least Squares Report
• Model Comparison Summary
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Model Comparison Summary
The Model Comparison Summary shows summary results for each fitted model.
Figure 5.8
Model Comparison Summary
In
Figure 5.8
, models for 7 and then 6 factors have been fit. The report includes the following summary information:
Method
Shows the analysis method that you specified in the Model Launch control panel.
Number of rows
Shows the number of observations used in the training set.
Number of factors
Shows the number of extracted factors.
Percent Variation Explained for Cumulative X
Shows the percent of variation in X that is explained by the model.
Percent Variation Explained for Cumulative Y
Shows the percent of variation in Y that is explained by the model.
Number of VIP>0.8
Shows the number of model effects with VIP (variable importance for projection) values greater than 0.8. The VIP score is a measure of a variable’s importance relative to modeling both X and Y (Wold
1994
; Eriksson et al.
2006
).
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Help created on 7/12/2018