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The REG Procedure |
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 | |
ErrorSSCP | MTest error matrix E | MTEST | |
FitStatistics | Model fit statistics | MODEL | default |
HypothesisSSCP | MTest hypothesis matrix | MTEST | |
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 | |
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 |
OutputStatistics | Output statistics table | MODEL | ALL, CLI, CLM, INFLUENCE, P, R |
ParameterEstimates | Model parameter estimates | MODEL | default |
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 | |
USSCP | Uncorrected SSCP matrix for analysis variables | PROC | ALL, USSCP |
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