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ID Statement
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The ENTROPY Procedure (Experimental)

  • Overview
  • Getting Started Getting Started
    Simple Regression Analysis Using Prior Information Pure Inverse Problems Analyzing Multinomial Response Data
  • Syntax Procedure Syntax
    Functional Summary PROC ENTROPY Statement BOUNDS Statement BY Statement ID Statement MODEL Statement PRIORS Statement RESTRICT Statement TEST Statement WEIGHT Statement
  • Details Procedure Details
    Generalized Maximum Entropy Generalized Cross Entropy Moment Generalized Maximum Entropy Maximum Entropy-Based Seemingly Unrelated Regression Generalized Maximum Entropy for Multinomial Discrete Choice Models Censored or Truncated Dependent Variables Information Measures Parameter Covariance For GCE Parameter Covariance For GCE-M Statistical Tests Missing Values Input Data Sets Output Data Sets ODS Table Names ODS Graphics
  • Examples Procedure Examples
    Nonnormal Error Estimation Unreplicated Factorial Experiments Censored Data Models in PROC ENTROPY Use of the PDATA= Option Illustration of ODS Graphics
  • References
 
ID Statement
ID variables ;

The ID statement specifies variables to identify observations in error messages or other listings and in the OUT= data set. The ID variables are normally SAS date or datetime variables. If more than one ID variable is used, the first variable is used to identify the observations and the remaining variables are added to the OUT= data set.



Note: This procedure is experimental.

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