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SAS® Help Center
SAS® Visual Data Mining and Machine Learning: Procedures
2020.1
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  • Introduction
  • Shared Concepts
  • The ASTORE Procedure
  • The BNET Procedure
  • The BOOLRULE Procedure
  • The FACTMAC Procedure
    • Overview
    • Getting Started
    • Syntax
      • PROC FACTMAC Statement
      • AUTOTUNE Statement
      • CODE Statement
      • DISPLAY Statement
      • DISPLAYOUT Statement
      • FREQ Statement
      • ID Statement
      • INPUT Statement
      • OUTPUT Statement
      • SAVESTATE Statement
      • TARGET Statement
      • WEIGHT Statement
    • Details
    • Examples
    • References
  • The FASTKNN Procedure
  • The FISM Procedure
  • The FOREST Procedure
  • The GMM Procedure
  • The GRADBOOST Procedure
  • The GVARCLUS Procedure
  • The KPCA Procedure
  • The MBANALYSIS Procedure
  • The MTLEARN Procedure
  • The MWPCA Procedure
  • The NNET Procedure
  • The OPTBINNING Procedure
  • The RPCA Procedure
  • The SEMISUPLEARN Procedure
  • The SPARSEML Procedure
  • The SVDD Procedure
  • The SVMACHINE Procedure
  • The TEXTMINE Procedure
  • The TMSCORE Procedure
  • The TSNE Procedure
 

The FACTMAC Procedure

Overview
Getting Started
Syntax
Details
Examples
References

TARGET Statement

  • TARGET variable <LEVEL=INTERVAL>;

The TARGET statement names the target variable whose values PROC FACTMAC predicts. The target must be interval and must be different from the variables in the INPUT statement. You can include the following option in the OUTPUT statement:

LEVEL=INTERVAL

specifies the level of measurement of the variables.

PROC FACTMAC currently accepts only interval target variables.

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Last updated: November 11, 2020
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