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 set |
PDLREG |
DATA= |
write predicted values to an output data set |
OUTPUT |
OUT= |
BY-Group Processing |
||
specify BY-group processing |
BY |
|
Printing Control Options |
||
request all print options |
MODEL |
ALL |
print transformed coefficients |
MODEL |
COEF |
print correlations of the estimates |
MODEL |
CORRB |
print covariances of the estimates |
MODEL |
COVB |
print DW statistics up to order j |
MODEL |
DW=j |
print the marginal probability of DW statistics |
MODEL |
DWPROB |
print inverse of Toeplitz matrix |
MODEL |
GINV |
print inverse of the crossproducts matrix |
MODEL |
I |
print details at each iteration step |
MODEL |
ITPRINT |
print Durbin t statistic |
MODEL |
LAGDEP |
print Durbin h statistic |
MODEL |
LAGDEP= |
suppress printed output |
MODEL |
NOPRINT |
print partial autocorrelations |
MODEL |
PARTIAL |
print standardized parameter estimates |
MODEL |
STB |
print crossproducts matrix |
MODEL |
XPX |
Model Estimation Options |
||
specify order of autoregressive process |
MODEL |
NLAG= |
suppress intercept parameter |
MODEL |
NOINT |
specify convergence criterion |
MODEL |
CONVERGE= |
specify maximum number of iterations |
MODEL |
MAXITER= |
specify estimation method |
MODEL |
METHOD= |
Output Control Options |
||
specify confidence limit size |
OUTPUT |
ALPHACLI= |
specify confidence limit size for structural predicted values |
OUTPUT |
ALPHACLM= |
output transformed intercept variable |
OUTPUT |
CONSTANT= |
output lower confidence limit for predicted values |
OUTPUT |
LCL= |
output lower confidence limit for structural predicted values |
OUTPUT |
LCLM= |
output predicted values |
OUTPUT |
P= |
output predicted values of the structural part |
OUTPUT |
PM= |
output residuals from the predicted values |
OUTPUT |
R= |
output residuals from the structural predicted values |
OUTPUT |
RM= |
output transformed variables |
OUTPUT |
TRANSFORM= |
output upper confidence limit for the predicted values |
OUTPUT |
UCL= |
output upper confidence limit for the structural predicted values |
OUTPUT |
UCLM= |
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