Table Name Description Statement Option
ContrastEstimates Analysis of contrasts CONTRAST ESTIMATE=
ConvergenceStatus Convergence status MODEL ML
CorrB Correlation matrix of
the estimates
MODEL CORRB
CovB Covariance matrix of
the estimates
MODEL COVB
DataSummary Data summary PROC Default
Estimates Analysis of estimates MODEL Default, unless
NOPARM
MaxLikelihood Maximum likelihood
analysis
MODEL ML and ITPRINT
OneWayFreqs One-way frequencies MODEL ONEWAY
PopProfiles Population profiles MODEL Default, unless
NOPROFILE
PredictedFreqs Predicted frequencies MODEL PRED=FREQ
PredictedProbs Predicted
probabilities
MODEL PREDICT or
PRED=PROB
PredictedValues Predicted values MODEL PREDICT or PRED=
ResponseCov Response functions,
covariance matrix
MODEL COV
ResponseDesign Response functions,
design matrix
MODEL DESIGN, unless
NODESIGN
ResponseFreqs Response frequencies MODEL FREQ
ResponseMatrix _RESPONSE_
matrix
MODEL and
LOGLIN
DESIGN, unless
NORESPONSE
ResponseProbs Response
probabilities
MODEL PROB
ResponseProfiles Response profiles MODEL Default, unless
NOPROFILE
XPX X’*INVS*X matrix MODEL
XPX, for WLS
*
*
WLS estimation is the default for response functions other than the default (generalized logits).
914 Appendix 1 Output Object Table Names
Table A1.24 ODS Table Names Produced by the CLUSTER Procedure
Table Name Description Statement Option
ClusterHistory Observation or
clusters joined,
frequencies and other
cluster statistics
PROC Default
SimpleStatistics Simple statistics,
before or after
trimming
PROC SIMPLE
EigenvalueTable Eigenvalues of the
CORR or COV
matrix
PROC Default
RMSStd Root mean square
total sample standard
deviation
PROC Default
AvDist Root mean square
distance between
observations
PROC Default
Table A1.25 ODS Table Names Produced by the CORRESP Procedure
Table Name Description Option
AdjInGreenacre Greenacre Inertia Adjustment GREENACRE
AdjInBenzecri Benzécri Inertia Adjustment BENZECRI
Binary Binary table OBSERVED, BINARY
BinaryPct Binary table percentages
OBSERVED, BINARY
*
Burt Burt table OBSERVED, MCA
BurtPct Burt table percentages
OBSERVED, MCA
*
CellChiSq Contributions to chi-square CELLCHI2
CellChiSqPct Contributions, percentages
CELLCHI2
*
ColBest Col best indicators Default
ColContr Col contributions to inertia Default
ColCoors Col coordinates Default
ODS Table Names and the SAS/STAT Procedures That Produce Them 915
Table Name Description Option
ColProfiles Col profiles CP
ColProfilesPct Col profiles, percentages
CP
*
ColQualMassIn Col quality, mass, inertia Default
ColSqCos Col squared cosines Default
DF DF, chi-square (not
displayed)
Default
Deviations Observed - expected freqs DEVIATIONS
DeviationsPct Observed - expected
percentages
DEVIATIONS
*
Expected Expected frequencies EXPECTED
ExpectedPct Expected percentages
EXPECTED
*
Inertias Inertia decomposition table Default
Observed Observed frequencies OBSERVED
ObservedPct Observed percentages
OBSERVED
*
RowBest Row best indicators Default
RowContr Row contributions to inertia Default
RowCoors Row coordinates Default
RowProfiles Row profiles RP
RowProfilesPct Row profiles, percentages
RP
*
RowQualMassIn Row quality, mass, inertia Default
RowSqCos Row squared cosines Default
SupColCoors Supp col coordinates Default
SupColProfiles Supp col profiles CP
SupColProfilesPct Supp col profiles, percentages
CP
*
SupColQuality Supp col quality Default
SupCols Supplementary col freq OBSERVED
916 Appendix 1 Output Object Table Names
Table Name Description Option
SupColsPct Supplementary col
percentages
OBSERVED
*
SupColSqCos Supp col squared cosines Default
SupRows Supplementary row freqs OBSERVED
SupRowCoors Supp row coordinates Default
SupRowProfiles Supp row profiles RP
SupRowProfilesPct Supp row profiles,
percentages
RP
*
SupRowQuality Supp row quality Default
SupRowsPct Supplementary row
percentages
OBSERVED
*
SupRowSqCos Supp row squared cosines Default
*
Percentages are displayed when you specify the PRINT=PERCENT or PRINT=BOTH option.
Table A1.26 ODS Table Names Produced by the DISCRIM Procedure
Table Name Description PROC DISCRIM Option
ANOVA Univariate statistics ANOVA
AvePostCrossVal Average posterior
probabilities, cross validation
POSTERR &
CROSSVALIDATE
AvePostResub Average posterior
probabilities, resubstitution
POSTERR
AvePostTestClass Average posterior
probabilities, test
classification
POSTERR & 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
ODS Table Names and the SAS/STAT Procedures That Produce Them 917
Table Name Description PROC DISCRIM Option
CanCorr Canonical correlations CANONICAL
CanonicalMeans Class means on
canonicalvariables
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
Default
ClassifiedTestClass Number of observations and
percent classified, test
classification
TEST=
Counts Number of observations,
variables, classes, df
Default
CovDF DF for covariance matrices,
not displayed
any *COV option
Dist Squared distances DISTANCE
DistFValues Values based on squared
distances
DISTANCE
DistGeneralized Generalized squared distances Default
DistProb Probabilities for values from
squared distances
DISTANCE
ErrorCrossVal Error count estimates, cross
validation
CROSSVALIDATE
ErrorResub Error count estimates,
resubstitution
Default
ErrorTestClass Error count estimates, test
classification
TEST=
Levels Class level information Default
LinearDiscFunc Linear discriminant function POOL=YES
LogDet Log determinant of the
covariance matrix
Default
918 Appendix 1 Output Object Table Names

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