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PROC SSM Statement
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The SSM Procedure (Experimental)

  • Overview Procedure Overview
    Background
  • Getting Started
  • Syntax Procedure Syntax
    Functional Summary PROC SSM Statement BY Statement COMPONENT Statement EVAL Statement FORECAST Statement ID Statement IRREGULAR Statement MODEL Statement PARMS Statement Programming Statements STATE Statement TREND Statement
  • Details Procedure Details
    The State Space Model and Notation Types of Data Organization Overview of Model Specification Syntax Likelihood, Filtering, and Smoothing Contrasting PROC SSM with Other SAS Procedures Predefined Trend Models Predefined Structural Models Covariance Parameterization Missing Values Computational Issues Displayed Output ODS Table Names OUT= Data Set
  • Examples Procedure Examples
    Panel Data: Two-Way Random-Effects Model Backcasting, Forecasting, and Interpolation Smoothing of Repeated Measures Data A User-Defined Trend Model
  • References
 
PROC SSM Statement
PROC SSM <option> ;

The PROC SSM statement is required. The following option can be used in the PROC SSM statement:

DATA=SAS-data-set

specifies the name of the SAS data set that contains the variables needed for the analysis. If this option is not specified in the PROC SSM statement, the most recently created SAS data set is used.


Note: This procedure is experimental.

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