SAS 9.4 Output Delivery System, 3rd Edition

Table Name Description Statement and Option

InvXPX inv(X’X) matrix MODEL / INVERSE

LSMeanCL Confidence interval for LS-

means

LSMEANS / CL

LSMeanCoef Coefficients of least squares

means

LSMEANS / E

LSMeanDiffCL Confidence interval for LS-

mean differences

LSMEANS / PDIFF and CL

LSMeans Least squares means LSMEANS statement

LSMLines Least squares means

comparison lines

LSMEANS / PDIFF= ALL

LINES

MANOVATransform Multivariate transformation

matrix

MANOVA / M=

MCLines Multiple comparisons LINES

output

MEANS / LINES or

((DUNCAN or WALLER or

SNK or REGWQ ) and not

(CLDIFF or CLM ))

or (Equal cells and not

CLDIFF )

MCLinesInfo Information for multiple

comparison LINES output

MEANS / LINES or

((DUNCAN or WALLER or

SNK or REGWQ ) and not

(CLDIFF or CLM ))

or (Equal cells and not

CLDIFF )

MCLinesRange Ranges for multiple range

MC tests

MEANS / LINES or

((DUNCAN or WALLER or

SNK or REGWQ ) and not

(CLDIFF or CLM ))

or (Equal cells and not

CLDIFF )

MatrixRepresentation X matrix element

representation

As needed for other options

Means Group means MEANS statement

ModelANOVA ANOVA for model terms Default

MultStat Multivariate tests MANOVA statement

NObs Number of observations Default

934 Appendix 1 • Output Object Table Names

Table Name Description Statement and Option

OverallANOVA Overall ANOVA Default

OverallEffectSize Effect size measures for

overall ANOVA

MODEL / EFFECTSIZE

ParameterEstimates Estimated linear model

coefficients

MODEL / SOLUTION

PartialCorr Partial correlation matrix (MANOVA or

REPEATED ) / PRINTE

PredictedInfo Predicted values info MODEL / P or CLM or CLI

PredictedValues Predicted values MODEL / P or CLM or CLI

QForm Quadratic form for expected

mean squares

RANDOM / Q

RandomModelANOVA Random-effect tests RANDOM / TEST

RepeatedLevelInfo Correspondence between

dependents and repeated

measures levels

REPEATED statement

RepeatedTransform Repeated measures

transformation matrix

REPEATED / PRINTM

SimDetails Details of difference quantile

simulation

LSMEANS /

ADJUST=SIMULATE

(REPORT)

SimResults Evaluation of difference

quantile simulation

LSMEANS /

ADJUST=SIMULATE

(REPORT)

SlicedANOVA Sliced-effect ANOVA table LSMEANS / SLICE

Sphericity Sphericity tests REPEATED / PRINTE

Tests Summary ANOVA for

specified MANOVA H=

effects

MANOVA / H= SUMMARY

Tolerances X’X tolerances MODEL / TOLERANCE

Welch Welch’s ANOVA MEANS / WELCH

XPX X’X matrix MODEL / XPX

ODS Table Names and the SAS/STAT Procedures That Produce Them 935

Table A1.35 ODS Table Names Produced by the GLIMMIX Procedure

Table Name Description

Required Statement and

Option

AsyCorr Asymptotic correlation matrix

of covariance parameters

PROC GLIMMIX

ASYCORR

AsyCov Asymptotic covariance matrix

of covariance parameters

PROC GLIMMIX ASYCOV

CholG Cholesky root of the

estimated G matrix

RANDOM / GC

CholV Cholesky root of blocks of

the estimated V matrix

RANDOM / VC

ClassLevels Level information from the

CLASS statement

Default output

Coef L matrix coefficients E option in MODEL ,

CONTRAST , ESTIMATE ,

LSMESTIMATE , or

LSMEANS ; ELSM option in

LSMESTIMATE

ColumnNames Name association for

OUTDESIGN data set

PROC GLIMMIX

OUTDESIGN (NAMES)

CondFitStatistics Conditional fit statistics PROC GLIMMIX

METHOD= LAPLACE

Contrasts Results from the

CONTRAST statements

CONTRAST

ConvergenceStatus Status of optimization at

conclusion

Default output

CorrB Approximate correlation

matrix of fixed-effects

parameter estimates

MODEL / CORRB

CovB Approximate covariance

matrix of fixed-effects

parameter estimates

MODEL / COVB

CovBDetails Details about model-based

and/or adjusted covariance

matrix of fixed effects

MODEL / COVB

(DETAILS)

CovBI Inverse of approximate

covariance matrix of fixed-

effects parameter estimates

MODEL / COVBI

936 Appendix 1 • Output Object Table Names

Table Name Description

Required Statement and

Option

CovBModelBased Model-based (unadjusted)

covariance matrix of fixed

effects if DDFM= KR or

EMPIRICAL option is used

MODEL / COVB

(DETAILS)

CovParms Estimated covariance

parameters in GLMMs

Default output (in GLMMs)

CovTests Results from COVTEST

statements (except for

confidence bounds)

COVTEST

Diffs Differences of LS-means LSMEANS / DIFF (or

PDIFF)

Dimensions Dimensions of the model Default output

Estimates Results from ESTIMATE

statements

ESTIMATE

FitStatistics Fit statistics Default

G Estimated G matrix RANDOM / G

GCorr Correlation matrix from the

estimated G matrix

RANDOM / GCORR

Hessian Hessian matrix (observed or

expected)

PROC GLIMMIX HESSIAN

InvCholG Inverse Cholesky root of the

estimated G matrix

RANDOM / GCI

InvCholV Inverse Cholesky root of the

blocks of the estimated V

matrix

RANDOM / VCI

InvG Inverse of the estimated G

matrix

RANDOM / GI

InvV Inverse of blocks of the

estimated V matrix

RANDOM / VI

IterHistory Iteration history Default output

kdTree k-d tree information RANDOM /

TYPE=RSMOOTH

KNOTMETHOD=

KDTREE(TREEINFO)

ODS Table Names and the SAS/STAT Procedures That Produce Them 937