The SPATIALREG Procedure

Functional Summary

Table 31.1 summarizes the statements and options that you can use with the SPATIALREG procedure.

Table 31.1: Functional Summary

Description

Statement

Option

Data Set Options

  

Specifies the input primary data set

PROC SPATIALREG

DATA=

Specifies the input spatial weights data set

PROC SPATIALREG

WMAT=

Suppresses normalization of the spatial weights

PROC SPATIALREG

NONORMALIZE

Writes parameter estimates to an output data set

PROC SPATIALREG

OUTEST=

Writes estimates of , predicted values, and residuals to an output data set

OUTPUT

OUT=

Approximation Control Options

  

Specifies the approximation-related options

PROC SPATIALREG

APPROXIMATION=

Declaring the Role of Variables

  

Specifies BY-group processing

BY

 

Specifies classification variables

CLASS

 

Specifies a spatial ID variable

SPATIALID

 

Printing Control Options

  

Prints the correlation matrix of the estimates

MODEL

CORRB

Prints the covariance matrix of the estimates

MODEL

COVB

Prints a summary iteration listing

MODEL

ITPRINT

Suppresses the normal printed output

PROC SPATIALREG

NOPRINT

Prints all available output

MODEL

PRINTALL

Optimization Process Control Options

  

Specifies maximum number of iterations allowed

MODEL

MAXITER=

Selects the iterative minimization method to use

PROC SPATIALREG

METHOD=

Sets boundary restrictions on parameters

BOUNDS

 

Sets initial values for parameters

INIT

 

Sets linear restrictions on parameters

RESTRICT

 

Sets the number of threads to use

PERFORMANCE

NTHREADS=

Specifies the optimization options

NLOPTIONS

See Chapter 6: Nonlinear Optimization Methods.

Model Estimation Options

  

Specifies the spatial lag of covariate effect

SPATIALEFFECTS

 

Specifies the type of model

MODEL

TYPE=

Specifies the type of covariance matrix

MODEL

COVEST=

Suppresses the intercept parameter

MODEL

NOINT

Output Control Options

  

Includes covariances in the OUTEST= data set

PROC SPATIALREG

COVOUT

Outputs the residual

OUTPUT

RESID=

Outputs the expected value of the response variable

OUTPUT

PRED=

Outputs estimates of

OUTPUT

XBETA=


Last updated: November 05, 2018