The REG Procedure

ODS Table Names

PROC REG assigns a name to each table it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. These names are listed in the following table. For more information about ODS, see Chapter 20, Using the Output Delivery System.

Table 76.10 ODS Tables Produced by PROC REG
ODS Table Name	Description	Statement	Option
ACovEst	Consistent covariance of estimates matrix	MODEL	ALL, ACOV
ACovTestANOVA	Test ANOVA using ACOV estimates	TEST	ACOV (MODEL statement)
ANOVA	Model ANOVA table	MODEL	Default
CanCorr	Canonical correlations for hypothesis combinations	MTEST	CANPRINT
CollinDiag	Collinearity Diagnostics table	MODEL	COLLIN
CollinDiagNoInt	Collinearity Diagnostics for no intercept model	MODEL	COLLINOINT
ConditionBounds	Bounds on condition number	MODEL	(SELECTION=BACKWARD \| FORWARD \| STEPWISE \| MAXR \| MINR) and DETAILS
Corr	Correlation matrix for analysis variables	PROC	ALL, CORR
CorrB	Correlation of estimates	MODEL	CORRB
CovB	Covariance of estimates	MODEL	COVB
CrossProducts	Bordered model X’X matrix	MODEL	ALL, XPX
DWStatistic	Durbin-Watson statistic	MODEL	ALL, DW
DependenceEquations	Linear dependence equations	MODEL	Default if needed
Eigenvalues	MTest eigenvalues	MTEST	CANPRINT
Eigenvectors	MTest eigenvectors	MTEST	CANPRINT
EntryStatistics	Entry statistics for selection methods	MODEL	(SELECTION=BACKWARD \| FORWARD \| STEPWISE \| MAXR \| MINR) and DETAILS
ErrorPlusHypothesis	MTest error plus hypothesis matrix H+E	MTEST	PRINT
ErrorSSCP	MTest error matrix E	MTEST	PRINT
FitStatistics	Model fit statistics	MODEL	Default
HypothesisSSCP	MTest hypothesis matrix	MTEST	PRINT
InvMTestCov	Inv(L Ginv(X’X) L’) and Inv(Lb-c)	MTEST	DETAILS
InvTestCov	Inv(L Ginv(X’X) L’) and Inv(Lb-c)	TEST	PRINT
InvXPX	Bordered X’X inverse matrix	MODEL	I
MTestCov	L Ginv(X’X) L’ and Lb-c	MTEST	DETAILS
MTransform	MTest matrix M, across dependents	MTEST	DETAILS
MultStat	Multivariate test statistics	MTEST	Default
NObs	Number of observations		Default
OutputStatistics	Output statistics table	MODEL	ALL, CLI, CLM, INFLUENCE, P, R
PartialData	Partial regression leverage data	MODEL	PARTIALDATA
ParameterEstimates	Model parameter estimates	MODEL	Default if SELECTION= is not specified
RemovalStatistics	Removal statistics for selection methods	MODEL	(SELECTION=BACKWARD \| STEPWISE \| MAXR \| MINR) and DETAILS
ResidualStatistics	Residual statistics and PRESS statistic	MODEL	ALL, CLI, CLM, INFLUENCE, P, R
SelParmEst	Parameter estimates for selection methods	MODEL	SELECTION=BACKWARD \| FORWARD \| STEPWISE \| MAXR \| MINR
SelectionSummary	Selection summary for FORWARD, BACKWARD, and STEPWISE methods	MODEL	SELECTION=BACKWARD \| FORWARD \| STEPWISE
SeqParmEst	Sequential parameter estimates	MODEL	SEQB
SimpleStatistics	Simple statistics for analysis variables	PROC	ALL, SIMPLE
SpecTest	White’s heteroscedasticity test	MODEL	ALL, SPEC
SubsetSelSummary	Selection summary for R-square, Adj-RSq, and Cp methods	MODEL	SELECTION=RSQUARE \| ADJRSQ \| CP
TestANOVA	Test ANOVA table	TEST	Default
TestCov	L Ginv(X’X) L’ and Lb-c	TEST	PRINT
USSCP	Uncorrected SSCP matrix for analysis variables	PROC	ALL, USSCP