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SAS Visual Statistics 8.3: Procedures
8.3
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  • General
  • Statistics
    • The CORRELATION Procedure
    • The FREQTAB Procedure
    • The GAMMOD Procedure
    • The GENSELECT Procedure
    • The ICA Procedure
    • The KCLUS Procedure
    • The LMIXED Procedure
    • The LOGSELECT Procedure
    • The MBC Procedure
    • The MODELMATRIX Procedure
    • The NLMOD Procedure
    • The PCA Procedure
    • The PHSELECT Procedure
    • The PLSMOD Procedure
      • Overview
      • Getting Started
      • Syntax
      • Details
        • Regression Methods
        • Test Set Validation
        • Centering and Scaling
        • Missing Values
        • Displayed Output
        • ODS Table Names
      • Examples
      • References
    • The QTRSELECT Procedure
    • The REGSELECT Procedure
    • The SPC Procedure
    • The TREESPLIT Procedure
  • Utility
 

The PLSMOD Procedure

Overview
Getting Started
Syntax
Details
Examples
References

Regression Methods

Subsections:
  • Partial Least Squares
  • SIMPLS
  • Principal Component Regression
  • Reduced Rank Regression
  • Relationships between Methods

All the predictive methods that PROC PLSMOD implements work essentially by finding linear combinations of the predictors (factors) to use to predict the responses linearly. The methods differ only in how the factors are derived, as explained in the following sections.

Copyright © SAS Institute Inc. All rights reserved.
Last updated: December 21, 2018
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