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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

ID Statement

  • ID variables;

The ID statement lists one or more variables that are to be copied from the input data table to the output data tables that are specified in the OUT= option in the OUTPUT statement and the RSTORE= option in the SAVESTATE statement.

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Last updated: November 11, 2020
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