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

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