Table Name Description
Required
Statement Option
ParameterEstimatesR
esults
Parameter estimates
and gradient
information
MODEL DETAILS=ALL
ParameterEstimatesSt
art
More detailed model
information
MODEL DETAILS=ITR
ParmSearch Parameter search
values
MODEL Default output
ProblemDescription Information at the
optimization start
MODEL DETAILS=ITR
ProjGrad Projected gradient
information
MODEL DETAILS=ALL
SemivariogramTable Empirical
semivariance classes,
parameters, and
estimates
COMPUTE LAGD= ,
MAXLAGS=
ODS Table Names and the SAS/ETS Procedures
That Produce Them
This table lists the output object table names that SAS/ETS procedures produce. You
must license SAS/ETS software in order to produce these output objects. The table
provides the name of each table, a description of what the table contains, and the option,
if any, that creates the output object table. For more information about SAS/ETS
procedures, see SAS/ETS 13.2 User's Guide.
Table A1.99 ODS Table Names Produced by the ARIMA Procedure
For detailed information, see the ARIMA procedure in SAS/ETS 13.2 User's Guide.
Table Name Description Option
ODS Tables Created by the IDENTIFY Statement
DescStats Descriptive statistics
InputDescStats Input descriptive statistics
CorrGraph Correlations graph
ODS Table Names and the SAS/ETS Procedures That Produce Them 1009
For detailed information, see the ARIMA procedure in SAS/ETS 13.2 User's Guide.
Table Name Description Option
StationarityTest Stationarity tests STATIONARITY
TentativeOrders Tentative order selections MINIC, ESACF, or SCAN
PACFGraph Partial autocorrelations graph
IACFGraph Inverse autocorrelations
graph
ChiSqAuto Chi-square statistics table for
autocorrelation
ChiSqCross Chi-square statistics table for
cross-correlations
CROSSCORR=
MINIC Minimum information
criterion
MINIC
ESACF Extended sample
autocorrelation function
ESACF
ESACFPValues ESACF probability values ESACF
SCAN Squared canonical correlation
estimates
SCAN
SCANValues SCAN chi-square[1]
probability values
ODS Tables Created by the ESTIMATE Statement
FitStatistics Fit statistics
ARPolynomial Filter equations
MAPolynomial Filter equations
NumPolynomial Filter equations
DenPolynomial Filter equations
ParameterEstimates Parameter estimates
ChiSqAuto Chi-square statistics table for
autocorrelation
ChiSqCross Chi-square statistics table for
cross-correlations
1010 Appendix 1 Output Object Table Names
For detailed information, see the ARIMA procedure in SAS/ETS 13.2 User's Guide.
Table Name Description Option
InitialAREstimates Initial autoregressive
parameter estimates
InitialMAEstimates Initial moving average
parameter estimates
PrelimEstimates Preliminary estimation
IterHistory Conditional least squares
estimation
METHOD=CLS
OptSummary ARIMA estimation
optimization
PRINTALL
ModelDescription Model description
InputDescription Input description
ObjectiveGrid Objective function grid
matrix
GRID
CorrB Correlations of the estimates
ODS Tables Created by the OUTLIER Statement
OutlierDetails Detected outliers
ODS Tables Created by the FORECAST Statement
Forecasts Fit statistics
Table A1.100 ODS Table Names Produced by the AUTOREG Procedure
For detailed information, see the AUTOREG procedure in SAS/ETS 13.2 User's Guide.
ODS Table Name Description Option
ClassLevels Class Levels Default
FitSummary Summary of
regression
Default
SummaryDepVarCen Summary of
regression (centered
dependent var)
CENTER
ODS Table Names and the SAS/ETS Procedures That Produce Them 1011
For detailed information, see the AUTOREG procedure in SAS/ETS 13.2 User's Guide.
ODS Table Name Description Option
SummaryNoIntercept Summary of
regression (no
intercept)
NOINT
YWIterSSE Yule-Walker
iteration sum of
squared error
METHOD=ITYW
PreMSE Preliminary MSE NLAG=
Dependent Dependent variable Default
DependenceEquations Linear dependence
equation
ARCHTest Tests for ARCH
disturbances based
on OLS residuals
ARCHTEST=
ARCHTestAR Tests for ARCH
disturbances based
on residuals
ARCHTEST= (with NLAG=)
BDSTest BDS test for
independence
BDS<=()>
RunsTest Runs test for
independence
RUNS<=()>
TurningPointTest Turning point test for
independence
TP<=()>
VNRRankTest Rank version of von
Neumann ratio test
for independence
VNRRANK<=()>
FitSummarySCBP Fit summary of Bai
and Perron’s multiple
structural change
models
BP=
BreakDatesSCBP Break dates of Bai
and Perron’s multiple
structural change
models
BP=
SupFSCBP supF tests of Bai and
Perron’s multiple
structural change
models
BP=
1012 Appendix 1 Output Object Table Names
For detailed information, see the AUTOREG procedure in SAS/ETS 13.2 User's Guide.
ODS Table Name Description Option
UDmaxFSCBP UDmaxF test of Bai
and Perron’s multiple
structural change
models
BP=
WDmaxFSCBP WDmaxF tests of
Bai and Perron’s
multiple structural
change models
BP=
SeqFSCBP supF(l+1|l) tests of
Bai and Perron’s
multiple structural
change models
BP=
ParameterEstimatesSCBP Parameter estimates
of Bai and Perron’s
multiple structural
change models
BP=
ChowTest Chow test and
predictive Chow test
CHOW= PCHOW=
Godfrey Godfrey’s serial
correlation test
GODFREY<=>
PhilPerron Phillips-Perron unit
root test
STATIONARITY= (PHILIPS<=()>)
(no regressor)
PhilOul Phillips-Ouliaris
cointegration test
STATIONARITY= (PHILIPS<=()>)
(has regressor)
ADF Augmented Dickey-
Fuller unit root test
STATIONARITY= (ADF<=()>) (no
regressor)
EngleGranger Engle-Granger
cointegration test
STATIONARITY= (ADF<=()>) (has
regressor)
ERS ERS unit root test STATIONARITY= (ERS<=()>)
NgPerron Ng-Perron Unit root
tests
STATIONARITY= (NP=<()> )
KPSS Kwiatkowski,
Phillips, Schmidt,
and Shin (KPSS) test
or Shin cointegration
test
STATIONARITY= (KPSS<=()>)
ResetTest Ramsey’s RESET
test
RESET
ODS Table Names and the SAS/ETS Procedures That Produce Them 1013

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