ODS Table Names and the SAS/STAT Procedures That Produce Them :: SAS(R) 9.3 Output Delivery System: User's Guide, Second Edition

ODS Table Names Produced by the ACECLUS Procedure

For detailed information, see ACECLUS procedure in the SAS/STAT(R) 9.3 User's Guide .
Table Name	Description	Option

ODS Tables Created by the PROC Statement
ConvergenceStatus	Convergence status
DataOptionInfo	Data and option information
Eigenvalues	Eigenvalues of Inv(ACE)*(COV-ACE)
Eigenvectors	Eigenvectors (raw canonical coefficients)
InitWithin	Initial within-cluster covariances estimate	INITIAL=INPUT
IterHistory	Iteration history
SimpleStatistics	Simple statistics
StdCanCoef	Standardized canonical coefficients
Threshold	Threshold value	PROPORTION=
TotSampleCov	Total sample covariances
Within	Approximate covariance estimate within clusters

ODS Table Names Produced by the ANOVA Procedure

For detailed information, see ANOVA procedure in the SAS/STAT(R) 9.3 User's Guide .
Table Name	Description	Option

DependentInfo	Simultaneously analyzed dependent variables	Default when there are multiple dependent variables with different patterns of missing values
FitStatistics	R-Square, C.V., root MSE, and dependent mean
ModelANOVA	ANOVA for model terms
NObs	Number of observations
OverallANOVA	Overall ANOVA

ODS Tables Created by the CLASS Statement
ClassLevels	Classification variable levels

ODS Tables Created by the MANOVA Statement
MANOVATransform	Multivariate transformation matrix	M=
MultStat	Multivariate tests
Tests	Summary ANOVA for specified MANOVA H= effects	H=SUMMARY

ODS Tables Created by the MANOVA or REPEATED Statements
CanAnalysis	Canonical analysis	CANONICAL
CanCoef	Canonical coefficients	CANONICAL
CanStructure	Canonical structure	CANONICAL
CharStruct	Characteristic roots and vectors	MANOVA (not CANONICAL); REPEATED PRINTRV
ErrorSSCP	Error SSCP matrix	PRINTE
HypothesisSSCP	Hypothesis SSCP matrix	PRINTE; MANOVA M=
PartialCorr	Partial correlation matrix	PRINTE; REPEATED (CONTRAST, HELMERT, MEAN, POLYNOMIAL, or PROFILE)

ODS Tables Created by the MEANS Statement
Bartlett	Bartlett's homogeneity of variance test	HOVTEST=BARTLETT
CLDiffs	Multiple comparisons of pairwise differences	CLDIFF or DUNNETT or (Unequal cells and not LINES)
CLDiffsInfo	Information for multiple comparisons of pairwise differences	CLDIFF or DUNNETT or (Unequal cells and not LINES)
CLMeans	Multiple comparisons of means with confidence/comparison	CLM with (BON, GABRIEL, SCHEFFE, SIDAL. SMM, T, or LSD)
CLMeansInfo	Information for multiple comparisons of means with confidence/comparison interval	CLM
HOVFTest	Homogeneity of variance ANOVA	HOVTEST
MCLines	Multiple comparisons LINES output	LINES, ((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	LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (equal cells and not CLDIFF)
MCLinesRange	Ranges for multiple range MC tests	LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (equal cells and not CLDIFF)
Means	Group means
Welch	Welch's ANOVA	WELCH

ODS Tables Created by the REPEATED Statement
Epsilons	Greenhouse-Geisser and Huynh-Feldt epsilons
RepTransform	Repeated transformation matrix	CONTRAST, HELMERT, MEAN, POLYNOMIAL, or PROFILE
RepeatedLevelInfo	Correspondence between dependents and repeated measures levels
Sphericity	Sphericity tests	PRINTE

ODS Tables Created by the TEST Statement
AltErrTests	ANOVA tests with error other than MSE	E=

ODS Table Names Produced by the CALIS Procedure

For detailed information, see CALIS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the COSAN, FACTOR, LINEQS, and RAM Models
AddParms	Additional parameters in the PARAMETERS statement	PINITIAL or default
AsymStdRes	Asymptotically standardized residual matrix	RESIDUAL= or PRINT
AveAsymStdRes	Average absolute asymptotically standardized residuals	RESIDUAL= or PRINT
AveNormRes	Average absolute normalized residuals	RESIDUAL= or PRINT
AveRawRes	Average absolute raw residuals	RESIDUAL= or PRINT
AveVarStdRes	Average absolute variance standardized residuals	RESIDUAL= or PRINT
ContKurtosis	Contributions to kurtosis	KURTOSIS or PRINT
ConvergenceStatus	Convergence status	PSHORT
CorrParm	Correlations among parameter estimates	PCOVES and default
CovMat	Assorted cov matrices	PCOVES and default
DependParms	Dependent parameters (if specified by program statements)	PRIVEC and default
DistAsymStdRes	Distribution of asymptotically standardized residuals	RESIDUAL= or PRINT
DistNormRes	Distribution of normalized residuals	RESIDUAL= or PRINT
DistVarStdRes	Distribution of variance standardized residuals	RESIDUAL= or PRINT
Estimates	Vector of estimates	PRIVEC
Fit	Fit statistics	PSUMMARY
GenModInfo	General modeling information	PSIMPLE or default
Gradient	First partial derivatives (Gradient)	PRIVEC and default
InCorr	Input correlation matrix	PCORR or PALL
InCorrDet	Determinant of the input correlation matrix	PCORR or PALL
InCov	Input covariance matrix	PCORR or PALL
InCovDet	Determinant of the input covariance matrix	PCORR or PALL
Information	Information matrix	PCOVES and default
InitEstimates	Initial vector of parameter estimates	PINITIAL or default
InSymmetric	Input symmetric matrix (SYMATRIX data type)	PCORR or PALL
IterHist	Iteration history	PSHORT
IterStart	Iteration start	PSHORT
IterStop	Iteration stop	PSHORT
Jacobian	Jacobi column pattern	PJACPAT
Kurtosis	Kurtosis, with raw data input	KURTOSIS or PRINT
LagrangeBoundary	Lagrange, releasing active boundary constraints	MODIFICATION or PALL
LagrangeEquality	Lagrange, releasing equality constraints	MODIFICATION or PALL
ModelStatement	Model summary	PSHORT
ModIndices	Lagrange multiplier and Wald test statistics	MODIFICATION or PALL
NormRes	Normalized residual matrix	RESIDUAL= or PRINT
PredetElements	Predetermined elements	PREDET or PALL
PredModel	Predicted model matrix	PCORR or PALL
PredModelDet	Predicted model determinant	PCORR or PALL
ProblemDescription	Problem description	PSHORT
RankAsymStdRes	Ranking of the largest asymptotically standardized residuals	RESIDUAL= or PRINT
RankLagrange	Ranking of the largest Lagrange indices	RESIDUAL= or PRINT
RankNormRes	Ranking of the largest normalized residuals	RESIDUAL= or PRINT
RankRawRes	Ranking of the largest raw residuals	RESIDUAL= or PRINT
RankVarStdRes	Ranking of the largest variance standardized residuals	RESIDUAL= or PRINT
RawRes	Raw residual matrix	RESIDUAL= or PRINT
SimpleStatistics	Simple statistics, with raw data input	SIMPLE or default
StdErrs	Vector of standard errors	PRIVEC and default
SumSqDif	Sum of squared differences of predetermined elements	PREDET or PALL
tValues	Vector of t values	PRIVEC and default
VarStdRes	Variance of standardized residual matrix	RESIDUAL= or PRINT
WaldTest	Wald test	MODIFICATION or PALL
Weights	Weight matrix	PWEIGHT or PALL
WeightsDet	Determinant of the weight matrix	PWEIGHT or PALL

ODS Tables Created by the FACTOR, LINEQS, and RAM Models
Determination	Coefficients of determination	PDETERM and default
SqMultCorr	Squared multiple correlations	PESTIM or PSHORT

ODS Tables Created by the COSAN and FACTOR Models
EstParms	Estimated parameter matrix	PESTIM or PSHORT
InitParms	Initial matrix of parameter estimates	PINITIAL or default

ODS Tables Created by the LINEQS and RAM Models
Indirect Effects	Indirect effects	TOTEFF or PRINT
InitParms	Initial matrix of parameter estimates	PRIMAT and default
LatentScoreCoef	Latent variable regression score coefficients	PLATCOV or PRINT
PredMomentLatent	Predicted latent variable moments	PLATCOV or PRINT
PredMomentManLat	Predicted manifest and latent variable moments	PLATCOV or PRINT
SetCovExog	Set covariance parameters for manifest exogenous variables	PINITIAL or default
Stability	Stability of reciprocal causation	PDETERM and default
StructEq	Variables in the structural equations	PDETERM and default
TotalEffects	Total effects	TOTEFF or PRINT
VarSelection	Manifest variables, if not all are used, selected for modeling

ODS Tables Created by the FACTOR Model
FactCorrExog	Correlations among factors	PESTIM or PSHORT
FactScoreCoef	Factor score regression coefficients	PESTIM or PSHORT
RotatedLoadings	Rotated loadings, with ROTATE= option in FACTOR statement	PESTIM or PSHORT
Rotation	Rotation matrix, with ROTATE= option in FACTOR statement	PESTIM or PSHORT
StdLoadings	Standardized factor loadings	PESTIM or PSHORT

ODS Tables Created by the LINEQS Model
CorrExog	Correlations among exogenous variables	PESTIM or PSHORT
EndogenousVar	Endogenous variables	PESTIM or PSHORT
EstCovExog	Estimated covariances among exogenous variables	PESTIM or PSHORT
EstLatentEq	Estimated latent variable equations	PESTIM or PSHORT
EstManifestEq	Estimated manifest variable equations	PESTIM or PSHORT
EstVarExog	Estimated variances of exogenous variables	PESTIM or PSHORT
ExogenousVar	List of exogenous variables	PESTIM or PSHORT
InCovExog	Input covariances among exogenous variables	PESTIM or PSHORT
InLatentEq	Input latent variable equations	PESTIM or PSHORT
InManifestEq	Input manifest variable equations	PESTIM or PSHORT
InVarExog	Input variances of exogenous variables	PESTIM or PSHORT
StdLatentEq	Standardized latent variable equations	PESTIM or PSHORT
StdManifestEq	Standardized manifest variable equations	PESTIM or PSHORT

ODS Tables Created by the RAM Model
InitRAMEstimates	Initial RAM estimates	PESTIM or PSHORT
RAMCorrExog	Correlations among exogenous variables	PESTIM or PSHORT
RAMEstimates	RAM final estimates	PESTIM or PSHORT
RAMStdEstimates	Standardized estimates	PESTIM or PSHORT

ODS Table Names Produced by the CANCORR Procedure

For detailed information, see CANCORR procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

MultStat	Multivariate statistics

ODS Tables Created by PROC CANCORR
AvgRSquare	Average R-Squares (weighted and unweighted)	VDEP (or WDEP) or SMC (or ALL)
CanCorr	Canonical correlations
CanStructureVCan	Correlations between the VAR canonical variables and the VAR and WITH variables	Default (unless SHORT)
CanStructureWCan	Correlations between the WITH canonical variables and the WITH and VAR variables	Default (unless SHORT)
ConfidenceLimits	95% confidence limits for the regression coefficients	VDEP (or WDEP) or CLB (or ALL)
Corr	Correlations among the original variables	CORR (or ALL)
CorrRegCoefEst	Correlations among the regression coefficient estimates	VDEP (or WDEP) or CORRB (or ALL)
NObsNVar	Number of observations and variables	SIMPLE (or ALL)
ParCorr	Partial correlations	VDEP (or WDEP) or PCORR (or ALL)
ProbtRegCoef	Prob > \|t\| for the regression coefficients	VDEP (or WDEP) or PROBT (or ALL)
RawCanCoefV	Raw canonical coefficients for the VAR variables	Default (unless SHORT)
RawCanCoefW	Raw canonical coefficients for the WITH variables	Default (unless SHORT)
RawRegCoef	Raw regression coefficients	VDEP (or WDEP) or B (or ALL)
Redundancy	Canonical redundancy analysis	REDUNDANCY (or ALL)
Regression	Squared multiple correlations and F tests	VDEP (or WDEP) or SMC (or ALL)
SemiParCorr	Semi-partial correlations	VDEP (or WDEP) or SPCORR (or ALL)
SimpleStatistics	Simple statistics	SIMPLE (or ALL)
SqMultCorr	Canonical redundancy analysis: squared multiple correlations	REDUNDANCY (or ALL)
SqParCorr	Squared partial correlations	VDEP (or WDEP) or SQPCORR (or ALL)
SqSemiParCorr	Squared semi-partial correlations	VDEP (or WDEP) or SQSPCORR (or ALL)
StdCanCoefV	Standardized canonical coefficients for the VAR variables	Default (unless SHORT)
StdCanCoefW	Standardized canonical coefficients for the WITH variables	Default (unless SHORT)
StdErrRawRegCoef	Standard errors of the raw regression coefficients	VDEP (or WDEP) or SEB (or ALL)
StdRegCoef	Standardized regression coefficients	VDEP (or WDEP) or STB (or ALL)
tValueRegCoef	t values for the regression coefficients	VDEP (or WDEP) or T (or ALL)

ODS Tables Created by the PARTIAL Statement
CorrOnPartial	Partial correlations	CORR (or ALL)
RSquareRMSEOnPartial	R-Squares and RMSEs on PARTIAL	CORR (or ALL)
StdRegCoefOnPartial	Standardized regression coefficients on PARTIAL	CORR (or ALL)

ODS Table Names Produced by the CANDISC Procedure

For detailed information, see CANDISC procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ANOVA	Univariate statistics	ANOVA
AveRSquare	Average R-Square	ANOVA
BCorr	Between-class correlations	BCORR
BCov	Between-class covariances	BCOV
BSSCP	Between-class SSCP matrix	BSSCP
BStruc	Between canonical structure
CanCorr	Canonical correlations
CanonicalMeans	Class means on canonical variables
Counts	Number of observations, variables, classes, DF
CovDF	DF for covariance matrices, not printed	Any *COV option
Dist	Squared distances	MAHALANOBIS
DistFValues	F statistics based on squared distances	MAHALANOBIS
DistProb	Probabilities for F statistics from squared distances	MAHALANOBIS
Levels	Class level information
MultStat	MANOVA
PCoef	Pooled standard canonical coefficients
PCorr	Pooled within-class correlations	PCORR
PCov	Pooled within-class covariances	PCOV
PSSCP	Pooled within-class SSCP matrix	PSSCP
PStdMeans	Pooled standardized class means	STDMEAN
PStruc	Pooled within canonical structure
RCoef	Raw canonical coefficients
SimpleStatistics	Simple statistics	SIMPLE
TCoef	Total-sample standard canonical coefficients
TCorr	Total-sample correlations	TCORR
TCov	Total-sample covariances	TCOV
TSSCP	Total-sample SSCP matrix	TSSCP
TSTDMeans	Total standardized class means	STDMEAN
TStruc	Total canonical structure
WCorr	Within-class correlations	WCORR
WCov	Within-class covariances	WCOV
WSSCP	Within-class SSCP matrices	WSSCP

ODS Table Names Produced by the CATMOD Procedure

For detailed information, see CATMOD procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the MODEL Statement
ANOVA	Analysis of variance
ConvergenceStatus	Convergence status	ML
CorrB	Correlation matrix of the estimates	CORRB
CovB	Covariance matrix of the estimates	COVB
Estimates	Analysis of estimates	Default, unless NOPARM
MaxLikelihood	Maximum likelihood analysis	ML
OneWayFreqs	One-way frequencies	ONEWAY
PopProfiles	Population profiles	Default, unless NOPROFILE
PredictedFreqs	Predicted frequencies	PRED=FREQ
PredictedProbs	Predicted probabilities	PREDICT or PRED=PROB
PredictedValues	Predicted values	PREDICT or PRED=
ResponseCov	Response functions, covariance matrix	COV
ResponseDesign	Response functions, design matrix	WLS, unless NODESIGN
ResponseFreqs	Response frequencies	FREQ
ResponseProbs	Response probabilities	PROB
ResponseProfiles	Response profiles	Default, unless NOPROFILE
XPX	X"Inv(S)X matrix	XPX, for WLS

ODS Tables Created by the CONTRAST Statement
Contrasts	Contrasts
ContrastEstimates	Analysis of contrasts	ESTIMATE=

ODS Tables Created by the PROC Statement
DataSummary	Data summary

ODS Tables Created by the MODEL and LOGLIN Statements
ResponseMatrix	_RESPONSE_ matrix	Unless NORESPONSE

ODS Table Names Produced by the CLUSTER Procedure

For detailed information, see CLUSTER procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the PROC Statement
ClusterHistory	Observations or clusters joined, frequencies and other cluster statistics
SimpleStatistics	Simple statistics, before or after trimming	SIMPLE
EigenvalueTable	Eigenvalues of the CORR or COV matrix

ODS Table Names Produced by the CORRESP Procedure

For detailed information, see CORRESP procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

AdjInGreenacre	Greenacre inertia adjustment	GREENACRE
AdjInBenzecri	Benzecri inertia adjustment	BENZECRI
Binary	Binary table	OBSERVED or BINARY
BinaryPct	Binary table percents	OBSERVED or BINARY
Burt	Burt table	OBSERVED or MCA
BurtPct	Burt table percents	OBSERVED or MCA
CellChiSq	Contributions to Chi Square	CELLCHI2
CellChiSqPct	Contributions, percents	CELLCHI2
ColBest	Col best indicators
ColContr	Col contributions to inertia
ColCoors	Col coordinates
ColProfiles	Col profiles	CP
ColProfilesPct	Col profiles, percents	CP
ColQualMassIn	Col quality, mass, inertia
ColSqCos	Col squared cosines
DF	DF, Chi Square (not displayed)
Deviations	Observed — expected frequencies	DEVIATIONS
DeviationsPct	Observed — expected percentages	DEVIATIONS
Expected	Expected frequencies	EXPECTED
ExpectedPct	Expected percents	EXPECTED
Intertias	Inertia decomposition table
Observed	Observed frequencies	OBSERVED
ObservedPct	Observed percents	OBSERVED
RowBest	Row best indicators
RowContr	Row contributions to inertia
RowCoors	Row coordinates
RowProfiles	Row profiles	RP
RowProfilesPct	Row profiles, percents	RP
RowQualMassIn	Row quality, mass, inertia
RowSqCos	Row squared cosines
SupColCoors	Supp col coordinates
SupColProfiles	Sup col profiles	CP
SupColProfilesPct	Sup col profiles, percents	CP
SupColQuality	Supp col quality
SupCols	Supplementary col frequency	OBSERVED
SupColsPct	Supplementary col percents	OBSERVED
SupColSqCos	Supplementary col squared cosines
SupRows	Supplementary row frequencies	OBSERVED
SupRowCoors	Supplementary row coordinates
SupRowProfiles	Supplementary row profiles	RP
SupRowProfilesPct	Supplementary row profiles, percents	RP
SupRowQuality	Supplementary row quality
SupRowsPct	Supplementary row percents	OBSERVED
SupRowSqCos	Supplementary row square cosines

ODS Table Names Produced by the DISCRIM Procedure

For detailed information, see DISCRIM procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ANOVA	Univariate statistics	ANOVA
AvePostCrossVal	Average posterior probabilities, cross validation	POSTERR and CROSSVALIDATE
AvePostResub	Average posterior probabilities, resubstitution	POSTERR
AvePostTestClass	Average posterior probabilities, test classification	POSTERR and TEST=
AveRSquare	Average R-Square	ANOVA
BCorr	Between-class correlations	BCORR
BCov	Between-class covariances	BCOV
BSSCP	Between-class SSCP matrix	BSSCP
BStruc	Between canonical structure	CANONICAL
CanCorr	Canonical correlations	CANONICAL
CanonicalMeans	Class means on canonical variables	CANONICAL
ChiSq	Chi-square information	POOL=TEST
ClassifiedCrossVal	Number of observations and percent classified, cross validation	CROSSVALIDATE
ClassifiedResub	Number of observations and percent classified, resubstitution
ClassifiedTestClass	Number of observations and percent classified, test classification	TEST=
Counts	Number of observations, variables, classes, DF
CovDF	DF for covariance matrices, not displayed	Any *COV option
Dist	Squared distances	MAHALONOBIS
DistFValues	F values based on squared distances	MAHALONOBIS
DistGeneralized	Generalized squared distances
DistProb	Probabilities for F values from squared distances	MAHALONOBIS
ErrorCrossVal	Error count estimates, cross validation	CROSSVALIDATE
ErrorResub	Error count estimates, resubstitution
ErrorTestClass	Error count estimates, test classification	TEST=
Levels	Class level information
LinearDiscFunc	Linear discriminant function	POOL=YES
LogDet	Log determinant of the covariance matrix
MultStat	MANOVA	MANOVA
PCoef	Pooled standard canonical coefficients	CANONICAL
PCorr	Pooled within-class correlations	PCORR
PCov	Pooled within-class covariances	PCOV
PSSCP	Pooled within-class SSCP matrix	PSSCP
PStdMeans	Pooled standardized class means	STDMEAN
PStruc	Pooled within canonical structure	CANONICAL
PostCrossVal	Posterior probabilities, cross validation	CROSSLIST or CROSSLISTERR
PostErrCrossVal	Posterior error estimates, cross validation	POSTERR and CROSSVALIDATE
PostErrResub	Posterior error estimates, resubstitution	POSTERR
PostErrTestClass	Posterior error estimates, test classification	POSTERR and TEST=
PostResub	Posterior probabilities, resubstitution	LIST or LISTERR
PostTestClass	Posterior probabilities, test classification	TESTLIST or TESTLISTERR
RCoef	Raw canonical coefficients	CANONICAL
SimpleStatistics	Simple statistics	SIMPLE
TCoef	Total-sample standard canonical coefficients	CANONICAL
TCorr	Total-sample correlations	TCORR
TCov	Total-sample covariances	TCOV
TSSCP	Total-sample SSCP matrix	TSSCP
TStdMeans	Total standardized class means	STDMEAN
TStruc	Total canonical structure	CANONICAL
WCorr	Within-class correlations	WCORR
WCov	Within-class covariances	WCOV
WSSCP	Within-class SSCP matrices	WSSCP

ODS Table Names Produced by the FACTOR Procedure

For detailed information, see FACTOR procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

AlphaCoef	Coefficient alpha for each factor	METHOD=ALPHA
CanCorr	Squared canonical correlations	METHOD=ML
CondStdDev	Conditional standard deviations	SIMPLE w/PARTIAL
ConvergenceStatus	Convergence status	METHOD=PRINIT, =ALPHA, =ML, or =ULS
Corr	Correlations	CORR
Eigenvalues	Eigenvalues	Default or SCREE
Eigenvectors	Eigenvectors	EIGENVECTORS
FactorWeightRotate	Factor weights for rotation	HKPOWER=
FactorPattern	Factor pattern
FactorStructure	Factor structure	ROTATE= any oblique rotation
FinalCommun	Final communalities	Default
FinalCommunWgt	Final communalities with weights	METHOD=ML or METHOD=ALPHA
FitMeasures	Measures of fit	METHOD=ML
ImageCoef	Image coefficients	METHOD=IMAGE
ImageCov	Image covariance matrix	METHOD=IMAGE
ImageFactors	Image factor matrix	METHOD=IMAGE
InputFactorPattern	Input factor pattern	METHOD=PATTERN with PRINT or ALL
InputScoreCoef	Standardized input scoring coefficients	METHOD=SCORE with PRINT or ALL
InterFactorCorr	Inter-factor correlations	ROTATE=any oblique rotation
InvCorr	Inverse correlation matrix	ALL
IterHistory	Iteration history	METHOD=PRINIT, =ALPHA, =ML, or =ULS
MultipleCorr	Squared multiple correlations	METHOD=IMAGE or METHOD=HARRIS
NormObliqueTrans	Normalized oblique transformation matrix	ROTATE=any oblique rotation
ObliqueRotFactPat	Rotated factor pattern	ROTATE=any oblique rotation
ObliqueTrans	Oblique transformation matrix	HKPOWER=
OrthRotFactPat	Rotated factor pattern	ROTATE=any orthogonal rotation
OrthTrans	Orthogonal transformational matrix	ROTATE=any orthogonal rotation
ParCorrControlFactor	Partial correlations controlling factors	RESIDUAL
ParCorrControlVar	Partial correlations controlling other variables	MSA
PartialCorr	Partial correlations	MSA or CORR w/PARTIAL
PriorCommunalEst	Prior communality estimates	PRIORS=, METHOD=ML, or METHOD=ALPHA
ProcrustesTarget	Target matrix for Procrustean transformation	ROTATE=PROCRUSTES or ROTATE=PROMAX
ProcrustesTrans	Procrustean transformation matrix	ROTATE=PROCRUSTES or ROTATE=PROMAX
RMSOffDiagPartials	Root mean square off-diagonal partials	RESIDUAL
RMSOffDiagResids	Root mean square off-diagonal residuals	RESIDUAL
ReferenceAxisCorr	Reference axis correlations	ROTATE=any oblique rotation
ReferenceStructure	Reference structure	ROTATE=any oblique rotation
ResCorrUniqueDiag	Residual correlations with uniqueness on the diagonal	RESIDUAL
SamplingAdequacy	Kaiser's measure of sampling adequacy	MSA
SignifTests	Significance tests	METHOD=ML
SimpleStatistics	Simple statistics	SIMPLE
StdScoreCoef	Standardized scoring coefficients	SCORE
VarExplain	Variance explained
VarExplainWgt	Variance explained with weights	METHOD=ML or METHOD=ALPHA
VarFactorCorr	Squared multiple correlations of the variables with each factor	SCORE
VarWeightRotate	Variable weights for rotation	NORM=WEIGHT or ROTATE=

ODS Table Names Produced by the FASTCLUS Procedure

For detailed information, see FASTCLUS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the PROC Statement
ApproxExpOverAllRSq	Approximate expected overall R-Squared, single number
CCC	Cubic clustering criterion, single number
ClusterList	Cluster listing, obs, ID, and distances	LIST
ClusterSum	Cluster summary, cluster number, distances	PRINTALL
ClusterCenters	Cluster centers
ClusterDispersion	Cluster dispersion
ConvergenceStatus	Convergence status	PRINTALL
Criterion	Criterion based on final seeds, single number
DistBetweenClust	Distance between clusters
InitialSeeds	Initial seeds
IterHistory	Iteration history, various statistics for each iteration	PRINTALL
MinDist	Minimum distance between initial seeds, single number	PRINTALL
NumberOfBins	Number of bins
ObsOverAllRSquare	Observed overall R-Squared. single number	SUMMARY
PrelScaleEst	Preliminary L(1) scale estimate, single number	PRINTALL
PseudoFStat	Pseudo F statistic, single number
SimpleStatistics	Simple statistics for input variables
VariableStat	Statistics for variables within clusters

ODS Table Names Produced by the GAM Procedure

For detailed information, see GAM procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the PROC Statement
ANODEV	Analysis of deviance table for smoothing variables
ClassSummary	Summary of class variables
InputSummary	Data summary
IterSummary	Iteration summary
FitSummary	Fit parameters and fit summary
ParameterEstimates	Parameter estimation for regression variables

ODS Tables Created by the MODEL Statement
Iteration	Iteration history table	ITPRINT

ODS Table Names Produced by the GENMOD Procedure

For detailed information, see GENMOD procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option
ODS Tables Created by the CLASS Statement
ClassLevels	Class variable levels

ODS Tables Created by the CONTRAST Statement
Contrasts	Tests of contrasts
ContrastCoef	Contrast coefficients	E
LinDep	Linearly dependent rows of contrasts
NonEst	Nonestimable rows of contrasts

ODS Tables Created by the MODEL Statement
ConvergenceStatus	Convergence status
CorrB	Parameter estimate correlation matrix	CORRB
CovB	Parameter estimate covariance matrix	COVB
IterLRCI	Iteration history for likelihood ratio confidence intervals	LRCI ITPRINT
IterParms	Iteration history for parameter estimates	ITPRINT
IterType3	Iteration history for Type 3 statistics	TYPE3 ITPRINT
LRCI	Likelihood ratio confidence intervals	LRCI ITPRINT
LagrangeStatistics	Lagrange statistics	NOINT or NOSCALE
LastGradHess	Last evaluation of the gradient and Hessian	ITPRINT
ModelInfo	Model information
Modelfit	Goodness-of-fit statistics
ObStats	Observation-wise statistics	OBSTATS, CL, PREDICTED, RESIDUALS, or XVARS
ParameterEstimates	Parameter estimates
ParmInfo	Parameter indices
ResponseProfiles	Frequency counts for multinomial models	DIST=MULTINOMIAL
Type1	Type 1 tests	TYPE1
Type3	Type 3 tests	TYPE3

ODS Tables Created by the ESTIMATE Statement
Estimates	Estimates of contrasts
EstimateCoef	Contrast coefficients	E

ODS Tables Created by the REPEATED Statement
GEEEmpPEst	GEE parameter estimates with empirical standard errors
GEELogORInfo	GEE log odds ratio model information	LOGOR=
GEEModInfo	GEE model information
GEEModPEst	GEE parameter estimates with model-based standard errors	MODELSE
GEENCorr	GEE model-based correlation matrix	MCORRB
GEENCov	GEE model-based covariance matrix	MCOVB
GEERCorr	GEE empirical correlation matrix	ECORRB
GEERCov	Gee empirical covariance matrix	ECOVB
GEEWCorr	GEE working correlation matrix	CORRW

ODS Tables Created by the MODEL CONTRAST Statement
IterContrasts	Iteration history for contrasts	ITPRINT

ODS Tables Created by the MODEL REPEATED Statement
IterParmsGEE	Iteration history for GEE parameter estimates	ITPRINT
LastGEEGrad	Last evaluation of the generalized gradient and Hessian	ITPRINT

ODS Tables Created by the LSMEANS Statement
LSMeanCoef	Coefficients for least squares means	E
LSMeanDiffs	Least squares means differences	DIFF
LSMeans	Least squares means

ODS Table Names Produced by the GLM Procedure

For detailed information, see GLM procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

DependentInfo	Simultaneously analyzed dependent variables	Default when there are multiple dependent variables with different patterns of missing values
FitStatistics	R-Square, C.V., root MSE, and dependent mean
MatrixRepresentation	X matrix element representation	As needed for other options
ModelANOVA	ANOVA for model terms
NObs	Number of observations
OverallANOVA	Overall ANOVA

ODS Tables Created by the CLASS Statement
ClassLevels	Classification variable levels
ODS Tables Created by the CONTRAST Statement
AltErrContrasts	ANOVA table for contrasts with alternative error	E=
ContrastCoef	L matrix for contrast	EST
Contrasts	ANOVA table for contrasts

ODS Tables Created by the ESTIMATE Statement
Estimates	Estimate statement result

ODS Tables Created by the LSMEANS Statement
Diff	PDiff matrix of least-squares means	PDIFF
LSMeanCL	Confidence interval for LS-means	CL
LSMeanCoef	Coefficients of least-squares means	E
LSMeanDiffCL	Confidence interval for LS-mean differences	PDIFF and CL
LSMeans	Least-squares means
SimDetails	Details of difference quantile simulation	ADJUST=SIMULATE(REPORT)
SimResults	Evaluation of difference quantile simulation	ADJUST=SIMULATE(REPORT)
SlicedANOVA	Sliced effect ANOVA table	SLICE

ODS Tables Created by the MEANS Statement
Bartlett	Bartlett's homogeneity of variance test	HOVTEST=BARTLETT
CLDiffs	Multiple comparisons of pairwise differences	CLDIFF, DUNNETT, or (Unequal cells and not LINES)
CLDiffsInfo	Information for multiple comparisons of pairwise differences	CLDIFF, DUNNETT, or (Unequal cells and not LINES)
CLMeans	Multiple comparisons of means with confidence/comparison interval	CLM
CLMeansInfo	Information for multiple comparison of means with confidence/comparison interval	CLM
HOVFTest	Homogeneity of variance ANOVA	HOVTEST
MCLines	Multiple comparisons LINES output	LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (Equal cells and not CLDIFF)
MCLinesInfo	Information for multiple comparison LINES output	LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (Equal cells and not CLDIFF)
MCLinesRange	Ranges for multiple range MC tests	LINES, ((DUNCAN, WALLER, SNK, or REGWQ) and not (CLDIFF or CLM)), or (Equal cells and not CLDIFF)
Means	Group means
Welch	Welch's ANOVA	WELCH

ODS Tables Created by the MODEL Statement
Aliasing	Type 1, 2, 3, 4 aliasing structure	(E1, E2, E3, or E4) and ALIASING
EstFunc	Type 1, 2, 3, 4 estimable functions	E1, E2, E3, or E4
GAliasing	General form of aliasing structure	E and ALIASING
GEstFunc	General form of estimable functions	E
InvXPX	Inv(X"X) matrix	INVERSE
ParameterEstimates	Estimated linear model coefficients	SOLUTION
PredictedInfo	Predicted values info	PREDICTED, CLM, or CLI
PredictedValues	Predicted values	PREDICTED, CLM, or CLI
Tolerances	X"X tolerances	TOLERANCE
XPX	X"X matrix	XPX


ODS Tables Created by the MANOVA or REPEATED Statements
CanAnalysis	Canonical analysis	CANONICAL
CanCoef	Canonical coefficients	CANONICAL
CanStructure	Canonical structure	CANONICAL
ErrorSSCP	Error SSCP matrix	PRINTE
HypothesisSSCP	Hypothesis SSCP matrix	PRINTH
PartialCorr	Partial correlation matrix	PRINTE

ODS Tables Created by the MANOVA Statement
CharStruct	Characteristic roots and vectors	Not CANONICAL
MANOVATransform	Multivariate transformation matrix	M=
MultStat	Multivariate tests
Tests	Summary ANOVA for specified MANOVA H= effects	H=SUMMARY

ODS Tables Created by the RANDOM Statement
ExpectedMeanSquares	Expected mean squares
QForm	Quadratic form for expected mean squares	Q
RandomModelANOVA	Random effect tests	TEST

ODS Tables Created by the REPEATED Statement
CharStruct	Characteristic roots and vectors	PRINTRV
Epsilons	Greenhouse-Geisser and Huynh-Feldt epsilons
RepeatedLevelInfo	Correspondence between dependents and repeated measures levels
RepeatedTransform	Repeated measures transformation matrix	PRINTM
Sphericity	Sphericity tests	PRINTE

ODS Tables Created by the TEST Statement
AltErrTests	ANOVA table for tests with alternative error	E=

ODS Table Names Produced by the GLMMOD Procedure

For detailed information, see GLMMOD procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

DependentInfo	Simultaneously analyzed dependent variables	Default when there are multiple dependent variables
DesignPoints	Design matrix
NObs	Number of observations
Parameters	Parameters and associated column numbers

ODS Tables Created by the CLASS Statement
ClassLevels	Table of class levels

ODS Table Names Produced by the GLMPOWER Procedure

For detailed information, see GLMPOWER procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

FixedElements	Factoid with single-valued analysis parameters	Default
Output	All input and computed analysis parameters, error messages, and information messages for each scenario	Default
PlotContent	Data contained in plots, including analysis parameters and indices identifying plot features. (Note: This table is saved as a dataset and not displayed in PROC GLMPOWER output.)	PLOT

ODS Table Names Produced by the INBREED Procedure

For detailed information, see INBREED procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the GENDER Statement
AvgCovCoef	Averages of covariance coefficient matrix	COVAR and AVERAGE
AvgInbreedingCoef	Averages of inbreeding coefficient matrix	AVERAGE

ODS Tables Created by the MATINGS Statement
MatingCovCoef	Covariance coefficients of matings	COVAR
MatingInbreedingCoef	Inbreeding coefficients of matings

ODS Tables Created by the PROC Statement
CovarianceCoefficient	Covariance coefficient table	COVAR
InbreedingCoefficient	Inbreeding coefficient table
IndividualCovCoef	Inbreeding coefficients of individuals	IND and COVAR
IndividualInbreedingCoef	Inbreeding coefficients of individuals	IND
NumberOfObservations	Number of observations

ODS Table Names Produced by the KDE Procedure

For detailed information, see KDE procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

BivariateStatistics	Bivariate statistics
Controls	Control variables
Inputs	Input information
Levels	Levels of density estimate
Percentiles	Percentiles of data
Statistics	Basic statistics

ODS Table Names Produced by the LATTICE Procedure

For detailed information, see LATTICE procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

ANOVA	Analysis of variance
AdjTreatmentMeans	Adjusted treatment means
Statistics	Additional statistics

ODS Table Names Produced by the LIFEREG Procedure

For detailed information, see LIFEREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the CLASS Statement
ClassLevels	Class variable levels

ODS Tables Created by the MODEL Statement
ConvergenceStatus	Convergence status
CorrB	Parameter estimate correlation matrix	CORRB
CovB	Parameter estimate covariance matrix	COVB
IterHistory	Iteration history	ITPRINT
LagrangeStatistics	Lagrange statistics	NOINT or NOSCALE
LastGrad	Last evaluation of the gradient	ITPRINT
LastHess	Last evaluation of the Hessian	ITPRINT
ModelInfo	Model information
ParameterEstimates	Parameter estimates
ParmInfo	Parameter indices
Type3Analysis	Type 3 tests

ODS Tables Created by the PROBPLOT Statement
EMIterHistory	Iteration history for Turnbull algorithm	ITPRINTEM
ProbEstimates	Nonparametric CDF estimates	PPOUT
Turnbull	Probability estimates from Turnbull algorithm	ITPRINTEM

ODS Table Names Produced by the LIFETEST Procedure

For detailed information, see LIFETEST procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the PROC Statement
CensorPlot	Line-printer plot of censored observations	PLOT=(C, S, LS or LLS), METHOD=PL, and LINEPRINTER
CensoredSummary	Number of event and censored observations	METHOD=PL
DensityPlot	Plot of the density	PLOT=(D) and METHOD=LT
HazardPlot	Plot of the hazards function	PLOT=(H) and METHOD=LT
LifetableEstimates	Lifetable survival estimates	METHOD=LT
LogLogSurvivalPlot	Plot of the log of the negative log survivor function	PLOT=(LLS)
LogSurvivalPlot	Plot of the log survivor function	PLOT=(LS)
Means	Mean and standard error of survival times	METHOD=PL
ProductLimitEstimates	Product-limit survival estimates	METHOD=PL
Quartiles	Quartiles of the survival distribution	METHOD=PL
SurvivalPlot	Plot of the survivor function	PLOT=(S)

ODS Tables Created by the STRATA Statement
HomStats	Rank statistics for testing strata homogeneity
HomTests	Tests for strata homogeneity
LogHomCov	Covariance matrix for the log-rank statistics for strata homogeneity
WilHomCov	Covariance matrix for the Wilcoxon statistics for strata homogeneity

ODS Tables Created by the TEST Statement
LogForStepSeq	Forward stepwise sequence for the log-rank statistics for association
LogTestCov	Covariance matrix for log-rank statistics for association
LogUniChisq	Univariate chi-squares for log-rank statistic for association
WilForStepSeq	Forward stepwise sequence for the log-rank statistics for association
WilTestCov	Covariance matrix for log-rank statistics for association
WilUniChiSq	Univariate chi-squares for Wilcoxon statistic for association

ODS Table Names Produced by the LOESS Procedure

For detailed information, see LOESS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

FitSummary	Specified fit parameters and fit summary
ScaleDetails	Extent and scaling of the independent variables

ODS Tables Created by the MODEL Statement
kdTree	Structure of kd tree used	DETAILS(kdTree)
ModelSummary	Summary of all models evaluated	DETAILS(ModelSummary)
OutputStatistics	Coordinates and fit results at input data points	DETAILS(OutputStatistics)
PredAtVertices	Coordinates and fitted values at kd tree vertices	DETAILS(PredAtVertices)
SmoothingCriterion	Criterion value and selected smoothing parameter	SELECT

ODS Tables Created by the SCORE Statement
ScoreResults	Coordinates and fit results at scoring points	PRINT

ODS Table Names Produced by the LOGISTIC Procedure

For detailed information, see LOGISTIC procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the CONTRAST Statement
ContrastCoeff	L matrix from CONTRAST	E
ContrastEstimate	Estimates from CONTRAST	ESTIMATE=
ContrastTest	Wald test for CONTRAST

ODS Tables Created by the EXACT Statement
ExactOddsRatio	Exact odds ratio	ESTIMATE=ODDS or ESTIMATE=BOTH
ExactParmEst	Parameter estimates	ESTIMATE, ESTIMATE=PARM, or ESTIMATE=BOTH
ExactTests	Conditional exact tests
SuffStats	Sufficient statistics	OUTDIST=

ODS Tables Created by the MODEL Statement
Association	Association of predicted probabilities and observed responses	Default
BestSubsets	Best subset selection	SELECTION=SCORE
ClassLevelInfo	CLASS variable levels and design variables	Default (with CLASS variables)
Classification	Classification table	CTABLE
CLOddsPL	Profile likelihood confidence limits for odds ratios	CLODDS=PL
CLOddsWald	Wald's confidence limits for odds ratios	CLODDS=WALD
CLParmPL	Profile likelihood confidence limits for parameters	CLPARM=PL
CLParmWald	Wald's confidence limits for parameters	CLPARM=WALD
ConvergenceStatus	Convergence status	Default
CorrB	Estimated correlation matrix of parameter estimators	CORRB
CovB	Estimated covariance matrix of parameter estimators	COVB
CumulativeModelTest	Test of the cumulative model assumption	(Ordinal response)
EffectNotInModel	Test for effects not in model	SELECTION=S or F
FastElimination	Fast backward elimination	SELECTION=B, FAST
FitStatistics	Model fit statistics	Default
GlobalScore	Global score test	NOFIT
GlobalTests	Test for global null hypothesis	Default
GoodnessOfFit	Pearson and deviance goodness-of-fit tests	SCALE
IndexPlots	Batch capture of the index plots	IPLOTS
Influence	Regression diagnostics	INFLUENCE
IterHistory	Iteration history	ITPRINT
LackFitChiSq	Hosmer-Lemeshow chi-square test results	LACKFIT
LackFItPartition	Partition for the Hosmer-Lemeshow test	LACKFIT
LastGradient	Last evaluation of gradient	ITPRINT
LogLikeChange	Final change in the log likelihood	ITPRINT
ModelBuildingSummary	Summary of model building	SELECTION=B, F, or S
OddsRatios	Odds ratios	Default
ParameterEstimates	Maximum likelihood estimates of model parameters	Default
RSquare	R-Square	RSQUARE
ResidualChiSq	Residual chi-square	SELECTION=F or B
Type3	Type 3 tests of effects	Default (with CLASS variables)

ODS Tables Created by the ODSRATIOS Statement
OddsRatiosWald	Odds ratios with Wald confidence limits	CL=WALD
OddsRatiosPL	Odds ratios with PL confidence limits	CL=PL
ODS Tables Created by the PROC Statement
ClassFreq	Frequency breakdown of CLASS variables	SIMPLE
ClassWgt	Weight breakdown of CLASS variables	SIMPLE
ModelInfo	Model information	Default
ResponseProfile	Response profile	Default
SimpleStatistics	Summary statistics for explanatory variables	SIMPLE

ODS Tables Created by the STRATA Statement
StrataSummary	Number of strata with specific response frequencies	Default
StrataInfo	Event and non-event frequencies for each stratum	INFO

ODS Tables Created by the TEST Statement
TestPrint1	L[cov(b)]L" and Lb-c	PRINT
TestPrint2	Ginv(L[cov(b)]L") and Ginv(L[cov(b)]L")(Lb-c)	PRINT
TestStmts	Linear hypothesis testing results	Default

ODS Tables Created by the WEIGHT Statement
ClassWgt	Weight breakdown of CLASS variables	SIMPLE

ODS Table Names Produced by the MDS Procedure

For detailed information, see MDS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ConvergenceStatus	Convergence status
DimensionCoef	Dimension coefficients	PCOEF w/COEF= not IDENTITY
FitMeasures	Measures of fit	PFIT
IterHistory	Iteration history
PConfig	Estimated coordinates of the objects in the configuration	PCONFIG
PData	Data matrices	PDATA
PInAvData	Initial sum of weights and weighted average of data matrices with INAV=DATA	PINAVDATA
PInEigval	Initial eigenvalues	PINEIGVAL
PInEigvec	Initial eigenvectors	PINEIGVEC
PInWeight	Initialization weights	PINWEIGHT
Transformations	Transformation parameters	PTRANS w/LEVEL=RATIO, INTERVAL, or LOGINTERVAL

ODS Table Names Produced by the MI Procedure

For detailed information, see MI procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

Corr	Pairwise correlations	SIMPLE
MissPattern	Missing data patterns
ModelInfo	Model information
ParameterEstimates	Parameter estimates
Univariate	Univariate statistics	SIMPLE
VarianceInfo	Between, within, and total variances

ODS Tables Created by the EM Statement
EMEstimates	EM (MLE) estimates
EMInitEstimates	EM initial estimates
EMIterHistory	EM (MLE) iteration history	ITPRINT

ODS Tables Created by the MCMC Statement
EMPostEstimates	EM (posterior mode) estimates	INITIAL=EM
EMPostIterHistory	EM (posterior mode) iteration history	INITIAL=EM (ITPRINT)
EMWLF	Worst linear function	WLF
MCMCInitEstimates	MCMC initial estimates	DISPLAYINIT

ODS Tables Created by the MONOTONE Statement
MonoDiscrim	Discriminant model group means	DISCRIM (/DETAILS)
MonoLogistic	Logistic model	LOGISTIC (/DETAILS)
MonoModel	Multiple monotone models
MonoPropensity	Propensity score model logistic function	PROPENSITY (/DETAILS)
MonoReg	Regression model	REG (/DETAILS)
MonoRegPPM	Predicted mean matching model	REGPMM (/DETAILS)

ODS Tables Created by the TRANSFORM Statement
Transform	Variable transformations

ODS Table Names Produced by the MIANALYZE Procedure

For detailed information, see MIANALYZE procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

BCov	Between-imputation covariance matrix	BCOV
ModelInfo	Model information
MultStat	Multivariate inference	MULT
ParameterEstimates	Parameter estimates
TCov	Total covariance matrix	TCOV
VarianceInfo	Variance information
WCov	Within-imputation covariance matrix	WCOV

ODS Tables Created by the TEST Statement
TestBCov	Between-imputation covariance matrix for Lβ	BCOV
TestMultStat	Multivariate inference for Lβ	MULT
TestParameterEstimates	Parameter estimates for Lβ
TestSpec	Test specification, L and c
TestTCov	Total covariance matrix for Lβ	TCOV
TestVarianceInfo	Variance information for Lβ
TestWCov	Within—imputation covariance matrix for Lβ	WCOV

ODS Table Names Produced by the MIXED Procedure

For detailed information, see MIXED procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

AccRates	Acceptance rates for posterior sampling	PRIOR
AsyCorr	Asymptotic correlation matrix of covariance parameters	PROC MIXED ASYCORR
AsyCov	Asymptotic covariance matrix of covariance parameters	PROC MIXED ASYCOV
Base	Base densities used for posterior sampling	PRIOR
Bound	Computed bound for posterior rejection sampling	PRIOR
CholG	Cholesky root of the estimated G matrix	RANDOM / GC
CholR	Cholesky root of blocks of the estimated R matrix	REPEATED / RC
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 on MODEL, CONTRAST, ESTIMATE, or LSMEANS
Contrasts	Results from the CONTRAST statements	CONTRAST
ConvergenceStatus	Convergence status	Default
CorrB	Approximate correlation matrix of fixed-effects parameter estimates	MODEL / CORRB
CovB	Approximate covariance matrix of fixed-effects parameter estimates	MODEL / COVB
CovParms	Estimated covariance parameters	Default output
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
HLM1	Type 1 Hotelling-Lawley-McKeon tests of fixed effects	MODEL / HTYPE=1 and REPEATED / HLM TYPE=UN
HLM2	Type 2 Hotelling-Lawley-McKeon tests of fixed effects	MODEL / HTYPE=2 and REPEATED / HLM TYPE=UN
HLM3	Type 3 Hotelling-Lawley-McKeon tests of fixed effects	REPEATED / HLM TYPE=UN
HLPS1	Type 1 Hotelling-Lawley-Pillai- Samson tests of fixed effects	MODEL / HTYPE=1 and REPEATED / HLPS TYPE=UN
HLPS2	Type 2 Hotelling-Lawley-Pillai- Samson tests of fixed effects	MODEL / HTYPE=1 and REPEATED / HLPS TYPE=UN
HLPS3	Type 3 Hotelling-Lawley-Pillai- Samson tests of fixed effects	REPEATED / HLPS TYPE=UN
Influence	Influence diagnostics	MODEL / INFLUENCE
InfoCrit	Information criteria	PROC MIXED IC
InvCholG	Inverse Cholesky root of the estimated G matrix	RANDOM / GCI
InvCholR	Inverse Cholesky root of blocks of the estimated R matrix	REPEATED / RCI
InvCholV	Inverse Cholesky root of blocks of the estimated V matrix	RANDOM / VCI
InvCovB	Inverse of approximate covariance matrix of fixed-effects parameter estimates	MODEL / COVBI
InvG	Inverse of the estimated G matrix	RANDOM / GI
InvR	Inverse of blocks of the estimated R matrix	REPEATED / RI
InvV	Inverse of blocks of the estimated V matrix	RANDOM / VI
IterHistory	Iteration history	Default output
LComponents	single degree of freedom estimates corresponding to rows of the L matrix for fixed effects	MODEL / LCOMPONENTS
LRT	Likelihood ratio test	Default output
LSMeans	LS-means	LSMEANS
MMEq	Mixed model equations	PROC MIXED MMEQ
MMEqSol	Mixed model equations solution	PROC MIXED MMEQSOL
ModelInfo	Model information	Default output
NObs	Number of observations read and used	Default output
ParmSearch	Parameter search values	PARMS
Posterior	Posterior sampling information	PRIOR
R	Blocks of the estimated R matrix	REPEATED / R
RCorr	Correlation matrix from blocks of the estimated R matrix	REPEATED / RCORR
Search	Posterior density search table	PRIOR / PSEARCH
Slices	Tests of LS-means slices	LSMEANS / SLICE=
SolutionF	Fixed effects solution vector	MODEL / S
SolutionR	Random effects solution vector	RANDOM / S
Tests1	Type 1 tests of fixed effects	MODEL / HTYPE=1
Tests2	Type 1 tests of fixed effects	MODEL / HTYPE=2
Tests3	Type 1 tests of fixed effects	Default output
Type1	Type 1 analysis of variance	PROC MIXED METHOD=TYPE1
Type2	Type 2 analysis of variance	PROC MIXED METHOD=TYPE2
Type3	Type 3 analysis of variance	PROC MIXED METHOD=TYPE3
Trans	Transformation of covariance parameters	PRIOR / PTRANS
V	Blocks of the estimated V matrix	RANDOM / V
VCorr	Correlation matrix from blocks of the estimated V matrix	RANDOM / VCORR

ODS Table Names Produced by the MODECLUS Procedure

For detailed information, see MODECLUS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the PROC Statement
BoundaryFreq	Boundary objects information	BOUNDARY (or ALL)
ClusterList	Cluster listing, cluster ID, frequency, density, etc.	LIST (or ALL)
ClusterStats	Cluster statistics
ClusterStats	Cluster statistics, significance test statistics	TEST or JOIN (or ALL)
ClusterSummary	Cluster summary
ClusterSummary	Cluster summary, crossvalidation criterion	CROSS or CROSSLIST (or ALL)
ClusterSummary	Cluster summary, clusters joined information	JOIN (or ALL)
CrossList	Cross-validated log density	CROSSLIST
ListLocal	Local dimensionality estimates	LOCAL
Neighbor	Nearest neighbor list	NEIGHBOR (or ALL)
SimpleStatistics	Simple statistics	SIMPLE (or ALL)
Trace	Trace of clustering algorithm (METHOD=6 only)	TRACE (or ALL) with METHOD=6
UnassignObjects	Information on unassigned objects	LIST (or ALL)

ODS Table Names Produced by the MULTTEST Procedure

For detailed information, see MULTTEST procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

Continuous	Continuous variable tabulations	TEST with MEAN
Contrasts	Contrast coefficients
Discrete	Discrete variable tabulations	TEST with CA, FT, PETO, or FISHER
ModelInfo	Model information
pValues	p-values from the tests

ODS Table Names Produced by the NESTED Procedure

For detailed information, see NESTED procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

ANCOVA	Analysis of covariance
ANOVA	Analysis of variance
EMSCoef	Coefficients of expected mean squares
Statistics	Overall statistics for fit

ODS Table Names Produced by the NLIN Procedure

For detailed information, see NLIN procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

ANOVA	Analysis of variance
ConvergenceStatus	Convergence status
CorrB	Correlation of the parameters
EstSummary	Summary of the estimation
IterHistory	Iteration output
MissingValues	Missing values generated by the program
ParameterEstimates	Parameter estimates

ODS Tables Created by the LIST Statement
ProgList	List of the compiled program

ODS Tables Created by the LISTCODE Statement
CodeList	List of program statements

ODS Tables Created by the LISTDEP Statement
CodeDependency	Variable cross reference

ODS Tables Created by the LISTDER Statement
FirstDerivatives	First derivative table

ODS Table Names Produced by the NLMIXED Procedure

For detailed information, see NLMIXED procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

AdditionalEstimates	Results from ESTIMATE statements	ESTIMATE
ConvergenceStatus	Convergence status
CorrMatAddEst	Correlation matrix of additional estimates	ECORR
CorrMatParmEst	Correlation matrix of parameter estimates	CORR
CovMatAddEst	Covariance matrix of additional estimates	ECOV
CovMatParmEst	Covariance matrix of parameter estimates	COV
DerAddEst	Derivatives of additional estimates	EDER
Dimensions	Dimensions of the problem
FitStatistics	Fit statistics
Hessian	Second derivative matrix	HESS
IterHistory	Iteration history
Parameters	Parameters
ParameterEstimates	Parameter estimates
Specifications	Model specifications
StartingHessian	Starting Hessian matrix	START HESS
StartingValues	Starting values and gradient	START

ODS Table Names Produced by the NPAR1WAY Procedure

For detailed information, see NPAR1WAY procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the EXACT Statement
ABMC	Monte Carlo estimates for the Ansari-Bradley exact test	AB or MC
DataScoresMC	Monte Carlo estimates for the exact test based on data scores	SCORES=DATA or MC
KlotzMC	Monte Carlo estimates for the Klotz exact test	KLOTZ or MC
KolSmirExactTest	Kolmogorov-Smirnov exact test	KS
KruskalWallisMC	Monte Carlo estimates for the Kruskal-Wallis exact test	WILCOXON or MC
KSMC	Monte Carlo estimates for the Kolmogorov-Smirnov exact test	KS or MC
MedianMC	Monte Carlo estimates for the median exact test	MEDIAN or MC
MoodMC	Monte Carlo estimates for the Mood exact test	MOOD or MC
SavageMC	Monte Carlo estimates for the Savage exact test	SAVAGE or MC
STMC	Monte Carlo estimates for the Siegel-Tukey one-way analysis	ST or MC
VWMC	Monte Carlo estimates for the Van der Waerden exact test	VW or MC
WilcoxonMC	Monte Carlo estimates for the Wilcoxon two-sample exact test	WILCOXON or MC

ODS Tables Created by the PROC Statement
ANOVA	Analysis of variance	ANOVA
ABAnalysis	Ansari-Bradley one-way analysis	AB
ABScores	Ansari-Bradley scores	AB
ABTest	Ansari-Bradley two-sample test	AB
ClassMeans	Class means	ANOVA
CVMStats	Cramer-von Mises statistics	EDF
CVMTest	Cramer-von Mises test	EDF
DataScores	Data scores	SCORES=DATA
DataScoresAnalysis	Data scores one-way analysis	SCORES=DATA
DataScoresTest	Data scores two-sample test	SCORES=DATA
KlotzAnalysis	Klotz one-way analysis	KLOTZ
KlotzScores	Klotz scores	KLOTZ
KlotzTest	Klotz two-sample test	KLOTZ
KolSmir2Stats	Kolmogorov-Smirnov two-sample statistics	EDF
KolSmirStats	Kolmogorov-Smirnov statistics	EDF
KolSmirTest	Kolmogorov-Smirnov test	EDF
KruskalWallisTest	Kruskal-Wallis test	WILCOXON
KuiperStats	Kuiper two-sample statistics	EDF
KuiperTest	Kuiper test	EDF
MedianAnalysis	Median one-way analysis	MEDIAN
MedianScores	Median scores	MEDIAN
MedianTest	Median two-sample test	MEDIAN
MoodAnalysis	Mood one-way analysis	MOOD
MoodScores	Mood scores	MOOD
MoodTest	Mood two-sample test	MOOD
SavageAnalysis	Savage one-way analysis	SAVAGE
SavageScores	Savage scores	SAVAGE
SavageTest	Savage two-sample test	SAVAGE
STAnalysis	Siegel-Tukey one-way analysis	ST
STScores	Siegel-Tukey scores	ST
STTest	Siegel-Tukey two-sample test	ST
VWAnalysis	Van der Waerden one-way analysis	VW
VWScores	Van der Waerden scores	VW
VWTest	Van der Waerden two-sample test	VW
WilcoxonScores	Wilcoxon scores	WILCOXON
WilcoxonTest	Wilcoxon two-sample test	WILCOXON

ODS Table Names Produced by the ORTHOREG Procedure

For detailed information, see ORTHOREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

ANOVA	Analysis of variance
FitStatistics	Overall statistics for fit
ParameterEstimates	Parameter estimates

ODS Tables Created by the CLASS Statement
Levels	Table of class levels

ODS Table Names Produced by the PHREG Procedure

For detailed information, see PHREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the MODEL Statement
BestSubsets	Best subset selection	SELECTION=SCORE
CensoredSummary	Summary of event and censored observations
ConvergenceStatus	Convergence status
CorrB	Estimated correlation matrix of parameter estimators	CORRB
CovB	Estimated covariance matrix of parameter estimators	COVB
FitStatistics	Model fit statistics
GlobalScore	Global chi-square test	NOFIT
GlobalTests	Tests of the global null hypothesis
IterHistory	Iteration history	ITPRINT
LastGradient	Last evaluation of gradient	ITPRINT
ModelBuildingSummary	Summary of model building	SELECTION=B, F, or S
ParameterEstimates	Maximum likelihood estimates of model parameters
ResidualChiSq	Residual chi-square	SELECTION=F or B
VariablesNotInModel	Analysis of variables not in the model	SELECTION=F or S

ODS Tables Created by the PROC Statement
ModelInfo	Model information
SimpleStatistics	Summary statistics for explanatory variables	SIMPLE

ODS Tables Created by the TEST Statement
TestAverage	Average effect for test	AVERAGE
TestCoeff	Coefficients for linear hypothesis	E
TestPrint1	L[cov(b)]L" and Lb-c	PRINT
TestPrint2	Ginv(L[cov(b)]L") and Ginv(L[cov(b)]L")(Lb-c)	PRINT
TestStmts	Linear hypotheses testing results

ODS Table Names Produced by the PLAN Procedure

For detailed information, see PLAN procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

Plan	Computed plan

ODS Tables Created by the FACTOR and TREATMENT Statements
PFInfo	Plot factor information
TFInfo	Treatment factor information

ODS Tables Created by the FACTOR and no TREATMENT Statements
FInfo	General factor information

ODS Table Names Produced by the PLS Procedure

For detailed information, see PLS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the MODEL Statement
CenScaleParms	Parameter estimates for centered and scaled data	SOLUTION
ParameterEstimates	Parameter estimates for raw data	SOLUTION

ODS Tables Created by the PROC Statement
CVResults	Results of cross validation	CV
CodedCoef	Coded coefficients	DETAILS
PercentVariation	Variation accounted for by each factor
ResidualSummary	Residual summary from cross validation	CV
XEffectCenScale	Centering and scaling information for predictor effects	CENSCALE
XLoadings	Loadings for independents	DETAILS
XVariableCenScale	Centering and scaling information for predictor effects	CENSCALE and VARSCALE
XWeights	Weights for independents	DETAILS
YVariableCenScale	Centering and scaling information for responses	CENSCALE
YWeights	Weights for dependents	DETAILS

ODS Table Names Produced by the POWER Procedure

For detailed information, see POWER procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

FixedElements	Factoid with single-valued analysis parameters	Default
Output	All input and computed analysis parameters, error messages, and information messages for each scenario	Default
PlotContent	Data contained in plots, including analysis parameters and indices identifying plot features. (Note: This table is saved as a dataset and not displayed in PROC POWER output.)	PLOT

ODS Table Names Produced by the PRINCOMP Procedure

For detailed information, see PRINCOMP procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

Corr	Correlation matrix	Default unless COV is specified
Cov	Covariance matrix	Default if COV is specified
Eigenvalues	Eigenvalues
Eigenvectors	Eigenvectors
NObsNVar	Number of observations, variables, and (partial) variables
SimpleStatistics	Simple statistics
TotalVariance	Total variance	COV

ODS Tables Created by the PARTIAL Statement
ParCorr	Partial correlation matrix
ParCov	Uncorrected partial covariance matrix	COV
RegCoef	Regression coefficients	COV
RSquareRMSE	Regression statistics: R-Squares and RMSEs
StdRegCoef	Standardized regression coefficients

ODS Table Names Produced by the PRINQUAL Procedure

For detailed information, see PRINQUAL procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ConvergenceStatus	Convergence status
Footnotes	Iteration history footnotes

ODS Tables Created by the PROC Statement
MAC	MAC iteration history	METHOD=MAC
MGV	MGV iteration history	METHOD=MGV
MTV	MTV iteration history	METHOD=MTV

ODS Table Names Produced by the PROBIT Procedure

For detailed information, see PROBIT procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the CLASS Statement
ClassLevels	Class variable levels

ODS Tables Created by the MODEL Statement
ConvergenceStatus	Convergence status
CorrB	Parameter estimate correlation matrix	CORRB
CovB	Parameter estimate covariance matrix	COVB
CovTolerance	Covariance matrix for location and scale
GoodnessOfFit	Goodness of fit tests	LACKFIT
IterHistory	Iteration history	ITPRINT
LagrangeStatistics	Lagrange statistics	NOINT
LastGrad	Last evaluation of the gradient	ITPRINT
LastHess	Last evaluation of the Hessian	ITPRINT
LogProbitAnalysis	Probit analysis for log dose	INVERSECL
ModelInfo	Model information
MuSigma	Location and scale
ParameterEstimates	Parameter estimates
ParmInfo	Parameter indices
ProbitAnalysis	Probit analysis for linear dose	INVERSECL
ResponseLevels	Response-covariate profile	LACKFIT
ResponseProfiles	Counts for ordinal data
Type3Analysis	Type 3 tests

ODS Table Names Produced by the REG Procedure

For detailed information, see REG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the MODEL Statement
ACovEst	Consistent covariance of estimates matrix	ALL or ACOV
ANOVA	Model ANOVA table
CollinDiag	Collinearity diagnostics table	COLLIN
CollinDiagNoInt	Collinearity diagnostics for no intercept model	COLLINOINT
ConditionBounds	Bounds on condition number	(SELECTION=BACKWARD, FORWARD, STEPWISE, MAXR, or MINR) and DETAILS
CorrB	Correlation of estimates	CORRB
CovB	Covariance of estimates	COVB
CrossProducts	Bordered model X"X matrix	ALL or XPX
DWStatistic	Durbin-Watson statistic	ALL or DW
DependenceEquations	Linear dependence equations
EntryStatistics	Entry statistics for selection methods	(SELECTION=BACKWARD, FORWARD, STEPWISE, MAXR, or MINR) and DETAILS
FitStatistics	Model fit statistics
InvXPX	Bordered X"X inverse matrix	I
OutputStatistics	Output statistics table	ALL, CLI, CLM, INFLUENCE, P, or R
ParameterEstimates	Model parameter estimates
RemovalStatistics	Removal statistics for selection methods	(SELECTION=BACKWARD, STEPWISE, MAXR, or MINR) and DETAILS
ResidualStatistics	Residual statistics and PRESS statistic	ALL, CLI, CLM, INFLUENCE, P, or R
SelParmEst	Parameter estimates for selection methods	SELECTION=BACKWARD, FORWARD, STEPWISE, MAXR, or MINR
SelectionSummary	Selection summary for forward, backward, and stepwise methods	SELECTION=BACKWARD, FORWARD, or STEPWISE
SeqParmEst	Sequential parameter estimates	SEQB
SpecTest	White's heteroscedasticity test	ALL or SPEC
SubsetSelSummary	Selection summary for R-Square, adj-RSq, and Cp methods	SELECTION=RSQUARE, ADJRSQ, or CP

ODS Tables Created by the MTEST Statement
CanCorr	Canonical correlations for hypothesis combinations	CANPRINT
Eigenvalues	MTest eigenvalues	CANPRINT
Eigenvectors	MTest eigenvectors	CANPRINT
ErrorPlusHypothesis	MTest error plus hypothesis matrix H+E	PRINT
ErrorSSCP	MTest error matrix E	PRINT
HypothesisSSCP	MTest hypothesis matrix	PRINT
InvMTestCov	Inv(L Ginv(X"X)L") and Inv(Lb-c)	DETAILS
MTestCov	L Ginv(X"X) L" and Lb-c	DETAILS
MTransform	MTest matrix M, across dependents	DETAILS
MultStat	Multivariate test statistics

ODS Tables Created by the PROC Statement
Corr	Correlation matrix for analysis variables	ALL or CORR
SimpleStatistics	Simple statistics for analysis variables	ALL or SIMPLE
USSCP	Uncorrected SSCP matrix for analysis variables	ALL or USSCP

ODS Tables Created by the TEST Statement
ACovTestANOVA	Test ANOVA using ACOV estimates	ACOV (MODEL statement)
InvTestCov	Inv(L Ginv(X"X)L") and Inv(Lb-c)	PRINT
TestANOVA	Test ANOVA table
TestCov	L Ginv(X"X) L" and Lb-c	PRINT

ODS Table Names Produced by the ROBUSTREG Procedure

For detailed information, see ROBUSTREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the CLASS Statement
ClassLevels	Class variable levels

ODS Tables Created by the MODEL Statement
CorrB	Parameter estimate correlation matrix	CORRB
CovB	Parameter estimate covariance matrix	COVB
Diagnostics	Outlier diagnostics	DIAGNOSTICS
DiagSummary	Summary of the outlier diagnostics
GoodFit	R2, deviance, AIC, and BIC
ModelInfo	Model information
ParameterEstimates	Parameter estimates
ParmInfo	Parameter indices
SummaryStatistics	Summary statistics for model variables

ODS Tables Created by the PROC Statement
BestEstimates	Best final estimates for LTS	SUBANALYSIS
BestSubEstimates	Best estimates for each subgroup	SUBANALYSIS
BiasTest	Bias test for MM estimation	BIASTEST
CStep	C-Step for LTS fitting	SUBANALYSIS
Groups	Groups for LTS fitting	SUBANALYSIS
InitLTSProfile	Profile for initial LTS estimate	METHOD
InitSProfile	Profile for initial S estimate	METHOD
LTSEstimates	LTS parameter estimates	METHOD
LTSLocationScale	Location and scale for LTS	METHOD
LTSProfile	Profile for LTS estimate	METHOD
LTSRsquare	R2 for LTS estimate	METHOD
MMProfile	Profile for MM estimate	METHOD
ParameterEstimatesF	Final weighted LS estimates	FWLS
SProfile	Profile for S estimate	METHOD

ODS Tables Created by the TEST Statement
ParameterEstimatesR	Reduced parameter estimates
TestsProfile	Results for tests

ODS Table Names Produced by the RSREG Procedure

For detailed information, see RSREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

Coding	Coding coefficients for the independent variables
ErrorANOVA	Error analysis of variance
FactorANOVA	Factor analysis of variance
FitStatistics	Overall statistics for fit
ModelANOVA	Model analysis of variance
ParameterEstimates	Estimated linear parameters
Spectral	Spectral analysis
StationaryPoint	Stationary point of response surface

ODS Tables Created by the RIDGE Statement
Ridge	Ridge analysis for optimum response

ODS Table Names Produced by the STDIZE Procedure

For detailed information, see STDIZE procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

Statistics	Location and scale measures	PSTAT

ODS Table Names Produced by the STEPDISC Procedure

For detailed information, see STEPDISC procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

BCorr	Between-class correlations	BCORR
BCov	Between-class covariances	BCOV
BSSCP	Between-class SSCP matrix	BSSCP
Counts	Number of observations, variables, classes, and DF
CovDF	DF for covariance matrices, not printed	Any *COV option
Levels	Class level information
Messages	Entry/removal messages
Multivariate	Multivariate statistics
PCorr	Pooled within-class correlations	PCORR
PCov	Pooled within-class covariances	PCOV
PSSCP	Pooled within-class SSCP matrix	PSSCP
PStdMeans	Pooled standardized class means	STDMEAN
SimpleStatistics	Simple statistics	SIMPLE
Steps	Stepwise selection entry/removal
Summary	Stepwise selection summary
TCorr	Total-sample correlations	TCORR
TCov	Total-sample covariances	TCOV
TSSCP	Total-sample SSCP matrix	TSSCP
TStdMeans	Total standardized class means	STDMEAN
Variables	Variable lists
WCorr	Within-class correlations	WCORR
WCov	Within-class covariances	WCOV
WSSCP	Within-class SSCP matrices	WSSCP

ODS Table Names Produced by the SURVEYFREQ Procedure

For detailed information, see SURVEYFREQ procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Statement	Option

ChiSq	Chi-square test	TABLES	CHISQ
ChiSq1	Modified chi-square test	TABLES	CHISQ1
CrossTabs	Crosstabulation table	TABLES	(n-way table request, n > 1)
LRChiSq	Likelihood ratio test	TABLES	LRCHISQ
LRChiSq1	Modified likelihood ratio test	TABLES	LRCHISQ1
OneWay	One-way frequency table	PROC or TABLES	(With no TABLES statement) (One-way table request)
StrataInfo	Stratum information	STRATA	LIST
Summary	Data summary	PROC	Default
TableSummary	Table summary (not displayed)	TABLES	Default
WChiSq	Wald chi-square test	TABLES	WCHISQ
WLLChiSq	Wald log-linear chi-square test	TABLES	WLLCHISQ

ODS Table Names Produced by the SURVEYLOGISTIC Procedure

For detailed information, see SURVEYLOGISTIC procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Statement	Option

ClassLevelInfo	CLASS variable levels and design variables	MODEL	Default (with CLASS vars)
CLOdds	Wald's confidence limits for odds ratios	MODEL	CLODDS
CLparmWald	Wald's confidence limits for parameters	MODEL	CLPARM
ContrastCoeff	L matrix from CONTRAST	CONTRAST	E
ContrastEstimate	Estimates from CONTRAST	CONTRAST	ESTIMATE=
ContrastTest	Wald test for CONTRAST	CONTRAST	Default
ConvergenceStatus	Convergence status	MODEL	Default
CorrB	Estimated correlation matrix of parameter estimators	MODEL	CORRB
CovB	Estimated covariance matrix of parameter estimators	MODEL	CovB
CumulativeModelTest	Test of the cumulative model assumption	MODEL	(Ordinal response)
DesignSummary	Design summary	STRATA \| CLUSTER	Default
FitStatistics	Model fit statistics	MODEL	Default
GlobalTests	Test for global null hypothesis	MODEL	Default
IterHistory	Iteration history	MODEL	ITPRINT
LastGradient	Last evaluation of gradient	MODEL	ITPRINT
LogLikeChange	Final change in the log likelihood	MODEL	ITPRINT
ModelInfo	Model information	PROC	Default
NObs	Number of observations	PROC	Default
OddsRatios	Odds ratios	MODEL	Default
ParameterEstimates	Maximum likelihood estimates of model parameters	MODEL	Default
RSquare	R-square	MODEL	RSQUARE
ResponseProfile	Response profile	PROC	Default
SimpleStatistics	Summary statistics for explanatory variables	PROC	SIMPLE
StrataInfo	Stratum information	STRATA	LIST
TestPrint1	L[cov(b)] L" and Lb-c	TEST	PRINT
TestPrint2	Ginv(L[cov( b)]L") and Ginv( L[cov(b)]L")(Lb-c)	TEST	PRINT
TestStmts	Linear hypotheses testing results	TEST	Default
TypeIII	Type III tests of effects	MODEL	Default (with CLASS variables)

ODS Table Names Produced by the SURVEYMEANS Procedure

For detailed information, see SURVEYMEANS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the CLASS Statement
ClassVarInfo	Class level information

ODS Tables Created by the DOMAIN Statement
Domain	Statistics in domains

ODS Tables Created by the PROC Statement
Statistics	Statistics
Summary	Data summary

ODS Tables Created by the RATIO Statement
Ratio	Statistics for ratios

ODS Tables Created by the STRATA Statement
StrataInfo	Stratum information	LIST

ODS Table Names Produced by the SURVEYREG Procedure

For detailed information, see SURVEYREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the CLASS Statement
ClassVarInfo	Class level information

ODS Tables Created by the CLUSTER Statement
DesignSummary	Design summary

ODS Tables Created by the CONTRAST Statement
ContrastCoef	Coefficients of contrast	E
Contrasts	Analysis of contrasts

ODS Tables Created by the ESTIMATE Statement
EstimateCoef	Coefficients of estimate	E
Estimates	Analysis of estimable functions

ODS Tables Created by the MODEL Statement
ANOVA	ANOVA for dependent variable	ANOVA
CovB	Covariance of estimated regression coefficients	COVB
DataSummary	Data summary
Effects	Tests of model effects
FitStatistics	Fit statistics
InvXPX	Inverse matrix of X"X	INV
ParameterEstimates	Estimated regression coefficients
XPX	X"X matrix	XPX

ODS Tables Created by the STRATA Statement
DesignSummary	Data summary
StrataInfo	Stratum information	LIST

ODS Table Names Produced by the SURVEYSELECT Procedure

For detailed information, see SURVEYSELECT procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

ODS Tables Created by the PROC Statement
Method	Sample selection method
Summary	Sample selection summary

ODS Table Names Produced by the TPSPLINE Procedure

For detailed information, see TPSPLINE procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the MODEL Statement
GCVFunction	GCV table	LOGNLAMBDA or LAMBDA

ODS Tables Created by the PROC Statement
DataSummary	Data summary
FitStatistics	Model fit statistics
FitSummary	Fit parameters and fit summary

ODS Table Names Produced by the TRANSREG Procedure

For detailed information, see TRANSREG procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ConvergenceStatus	Convergence status
Equation	Linear dependency equation	Less-than-full-rank model
Footnotes	Iteration history footnotes

ODS Tables Created by the MODEL Statement
BoxCox	Box-Cox transformation results	BOXCOX
SplineCoef	Spline coefficients	SPLINE or MSPLINE

ODS Tables Created by the MODEL and PROC Statements
NObs	ANOVA	TEST or SS2
ClassLevels	ANOVA	TEST or SS2
ANOVA	ANOVA	TEST or SS2
LiberalANOVA	ANOVA	TEST or SS2
ConservANOVA	ANOVA	TEST or SS2
FitStatistics	Fit statistics like R-Square	TEST or SS2
LiberalFitStatistics	Fit statistics	TEST or SS2
ConservFitStatistics	Fit statistics	TEST or SS2
MVANOVA	Multivariate ANOVA	TEST or SS2
LiberalMVANOVA	Multivariate ANOVA	TEST or SS2
ConservANOVA	Multivariate ANOVA	TEST or SS2
Coef	Regression results	SS2
LiberalCoef	Regression results	SS2
ConservCoef	Regression results	SS2
MVCoef	Multivariate regression results	SS2
LiberalMVCoef	Multivariate regression results	SS2
ConservMVCoef	Multivariate regression results	SS2
Utilities	Conjoint analysis utilities	UTILITY
LiberalUtilities	Conjoint analysis utilities	UTILITY
ConservUtilities	Conjoint analysis utilities	UTILITY
Details	Model details	DETAIL
Univariate	Univariate iteration history	METHOD=UNIVARIATE
MORALS	MORALS iteration history	METHOD=MORALS
CANALS	CANALS iteration history	METHOD=CANALS
Redundancy	Redundancy iteration history	METHOD=REDUNDANCY
TestIterations	Hypothesis test iterations iteration history	SS2

ODS Table Names Produced by the TREE Procedure

For detailed information, see TREE procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ODS Tables Created by the PROC Statement
Tree	Line-printer plot of the tree	LINEPRINTER
TreeListing	Line-printer listing of all nodes in the tree	LIST

ODS Table Names Produced by the TTEST Procedure

For detailed information, see TTEST procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description

Statistics	Univariate summary statistics
TTests	t-tests

ODS Tables Created by the CLASS Statement
Equality	Tests for equality of variance

ODS Table Names Produced by the VARCLUS Procedure

For detailed information, see VARCLUS procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ClusterQuality	Cluster quality
ClusterStructure	Cluster structure
ClusterSummary	Cluster summary
ConvergenceStatus	Convergence status
Corr	Correlations	CORR
DataOptSummary	Data and options summary table
InterClusterCorr	Inter-cluster correlations
IterHistory	Iteration history	TRACE
RSquare	Cluster R-Square
SimpleStatistics	Simple statistics	SIMPLE
StdScoreCoef	Standardized scoring coefficients

ODS Table Names Produced by the VARCOMP Procedure

For detailed information, see VARCOMP procedure in the SAS/STAT(R) 9.3 User's Guide.
Table Name	Description	Option

ClassLevels	Class level information
ConvergenceStatus	Convergence status
Estimates	Variance component estimates (one variable)
Estimatesn	Variance component estimates (multiple variables)
NObs	Number of observations

ODS Tables Created by the METHOD Statement
ANOVA	Type 1 analysis of variance	TYPE1
AsyCov	Asymptotic covariance matrix of estimates	ML or REML
DepVar	Dependent variable (one variable)	TYPE1, REML, or ML
DepVarn	Dependent variable n (multiple variables)	TYPE1, REML, or ML
DependentInfo	Dependent variable information (multiple variables)	MIVQUE0
IterHistory	Iteration history	ML or REML
SCCP	Sum of squares matrix (one variable)	MIVQUE0
SCCPn	Sum of squares matrix (multiple variable)	MIVQUE0