Table Name Description PROC DISCRIM Option
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 &
CROSSVALIDATE
PostErrResub Posterior error estimates,
resubstitution
POSTERR
PostErrTestClass Posterior error estimates, test
classification
POSTERR & 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
ODS Table Names and the SAS/STAT Procedures That Produce Them 919
Table Name Description PROC DISCRIM Option
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
Table A1.27 ODS Table Names Produced by the FACTOR Procedure
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
920 Appendix 1 • Output Object Table Names
Table Name Description Option
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
NObs Number of records and
observations, input data type
Default
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
ODS Table Names and the SAS/STAT Procedures That Produce Them 921
Table Name Description Option
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=
922 Appendix 1 • Output Object Table Names
Table A1.28 ODS Table Names Produced by the FASTCLUS Procedure
Table Name Description Statement Option
ApproxExpOverAllR
Sq
Approximate
expected overall R-
square, single number
PROC Default
CCC CCC, Cubic
Clustering Criterion,
single number
PROC Default
ClusterList Cluster listing, obs,
id, and distances
PROC LIST
ClusterSum Cluster summary,
cluster number,
distances
PROC PRINTALL
ClusterCenters Cluster centers PROC Default
ClusterDispersion Cluster dispersion PROC Default
ConvergenceStatus Convergence status PROC PRINTALL
Criterion Criterion based on
final seeds, single
number
PROC Default
DistBetweenClust Distance between
clusters
PROC Default
InitialSeeds Initial seeds PROC Default
IterHistory Iteration history,
various statistics for
each iteration
PROC PRINTALL
MinDist Minimum distance
between initial seeds,
single number
PROC PRINTALL
NumberOfBins Number of bins PROC Default
ObsOverAllRSquare Observed overall R-
square, single number
PROC SUMMARY
PrelScaleEst Preliminary L(1)
scale estimate, single
number
PROC PRINTALL
PseudoFStat Pseudo statistic,
single number
PROC Default
ODS Table Names and the SAS/STAT Procedures That Produce Them 923
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