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The PDLREG Procedure

Functional Summary

The statements and options used with the PDLREG procedure are summarized in the following table:

Description Statement Option
Data Set Options   
specify the input data setPDLREGDATA=
write predicted values to an output data setOUTPUTOUT=
   
BY-Group Processing   
specify BY-group processingBY 
   
Printing Control Options   
request all print optionsMODELALL
print correlations of the estimatesMODELCORRB
print covariances of the estimatesMODELCOVB
print DW statistics up to order jMODELDW=j
print the marginal probability of DW statisticsMODELDWPROB
print inverse of the crossproducts matrixMODELI
print details at each iteration stepMODELITPRINT
print Durbin t statisticMODELLAGDEP
print Durbin h statisticMODELLAGDEP=
suppress printed outputMODELNOPRINT
print partial autocorrelationsMODELPARTIAL
print standardized parameter estimatesMODELSTB
print crossproducts matrixMODELXPX
   
Model Estimation Options   
specify order of autoregressive processMODELNLAG=
suppress intercept parameterMODELNOINT
specify convergence criterionMODELCONVERGE=
specify maximum number of iterationsMODELMAXITER=
specify estimation methodMODELMETHOD=
   
Output Control Options   
specify confidence limit sizeOUTPUTALPHACLI=
specify confidence limit size for structural predicted valuesOUTPUTALPHACLM=
output transformed intercept variableOUTPUTCONSTANT=
output lower confidence limit for predicted valuesOUTPUTLCL=
output lower confidence limit for structural predicted valuesOUTPUTLCLM=
output predicted valuesOUTPUTP=
output predicted values of the structural partOUTPUTPM=
output residuals from the predicted valuesOUTPUTR=
output residuals from the structural predicted valuesOUTPUTRM=
output transformed variablesOUTPUTTRANSFORM=
output upper confidence limit for the predicted valuesOUTPUTUCL=
output upper confidence limit for the structural predicted valuesOUTPUTUCLM=

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