Using Partial Least Squares: When Ordinary Least Squares Regression Just Won’t Work
Published on
11-07-2024
03:28 PM
by
| Updated on
04-08-2025
09:13 AM
See how to:
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Understand when and why PLS is useful as well as the advantages of the PLS implementation in JMP Pro over that in JMP
See how to:
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Use consumer ratings to identify product attributes to help guide new formulation and design processes
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Employ leave-one-out cross-validation,
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Examine and interpret Root Mean Press;
NIPALS Fit x and y scores for a single latent factor; Diagnostic Plots; and VIP vs Coefficients Plots.
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Use Prediction Profiler to maximize desirability.
See how to:
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C
reate a model to evaluate the levels of three different compounds in spectral emissions of water samples
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Use Model Comparison summary to see how x and y scores correlate and to identify which variables explain variation
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Save prediction values to the data table, to make the model useful if new observations are added
See how to:
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Use Discriminant Analysis in a dataset that includes over 10,000 gene expression characteristics from a study of 230 individuals
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Determine if genetic expression information can be used to accurately classify estrogen receptor status
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Explore missing values; interpret ROC curves; and examine misclassification, false positives and false negatives
Resources
Start:
Thu, Aug 13, 2020 02:00 PM EDT
End:
Thu, Aug 13, 2020 03:00 PM EDT