PROC TCALIS: ODS Table Names :: SAS/STAT(R) 9.2 User's Guide, Second Edition

The TCALIS Procedure

ODS Table Names

PROC TCALIS assigns a name to each table it creates. You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. For more information about ODS, see Chapter 20, Using the Output Delivery System.

There are numerous ODS tables in the TCALIS procedure. The conditions for these ODS tables to display vary a lot. For convenience in presentation, the ODS tables for the PROC TCALIS procedure are organized in the following categories:

ODS tables for descriptive statistics and residual analysis
ODS tables for model specification and results
ODS tables for supplementary model analysis
ODS tables for modification indices
ODS tables for optimization control and results

Many ODS tables are displayed when you set either a specialized option in a certain statement or a global display option in the PROC TCALIS statement. Rather than requesting displays by setting specialized options separately, you can request a group of displays by using a global display option.

There are five global display levels, represented by five options: PALL (highest), PRINT, default, PSHORT, and PSUMMARY. The higher the level, the more output requested. The default printing level is in effect when you do not specify any other global printing options in the PROC TCALIS statement. See the section Global Display Options for details.

In the following description of ODS tables whenever applicable, the lowest level of global printing options for an ODS table to print is listed. It is understood that global printing options at higher levels can also be used. For example, if PSHORT is the global display option to print an ODS table, you can also use PALL, PRINT, or default.

ODS Tables for Descriptive Statistics and Residual Analysis

These ODS tables are group-oriented, meaning that each group has its own set of tables in the output. To display these tables in your output, you can set a specialized option in either the PROC TCALIS or GROUP statement. If the specialized option is set in the PROC TCALIS statement, it will apply to all groups. If the option is set in the GROUP statement, it will apply to the associated group only. Alternatively, you can set a global printing option in the PROC TCALIS statement to print these tables. Either a specialized or a global printing option is sufficient to print the tables.

Table Names for Descriptive Statistics

ODS Table Name	Description	Specialized Option	Global Display Option
ContKurtosis	Contributions to kurtosis from observations	KURTOSIS	PRINT
InCorr	Input correlation matrix	PCORR	PALL
InCorrDet	Determinant of the input correlation matrix	PCORR	PALL
InCov	Input covariance matrix	PCORR	PALL
InCovDet	Determinant of the input covariance matrix	PCORR	PALL
InMean	Input mean vector	PCORR	PALL
Kurtosis	Kurtosis, with raw data input	KURTOSIS	PRINT
PredCorr	Predicted correlation matrix	PCORR	PALL
PredCorrDet	Determinant of the predicted correlation matrix	PCORR	PALL
PredCov	Predicted covariance matrix	PCORR	PALL
PredCovDet	Determinant of the predicted covariance matrix	PCORR	PALL
PredMean	Predicted mean vector	PCORR	PALL
SimpleStatistics	Simple statistics, with raw data input	SIMPLE	default
Weights	Weight matrix	PWEIGHT	PALL
WeightsDet	Determinant of the weight matrix	PWEIGHT	PALL

Table Names for Residual Displays

ODS Table Name	Description	Specialized Option	Global Display Option
AsymStdRes	Asymptotically standardized residual matrix	RESIDUAL=ASYSTAND $\text{[math]}$	PALL
AveAsymStdRes	Average of absolute asymptotically standardized residual values	RESIDUAL=ASYSTAND $\text{[math]}$	PALL
AveNormRes	Average of absolute normalized residual values	RESIDUAL=NORM $\text{[math]}$	PALL
AveRawRes	Average of absolute raw residual values	RESIDUAL	PALL
AveVarStdRes	Average of absolute variance standardized residual values	RESIDUAL=VARSTAND $\text{[math]}$	PALL
DistAsymStdRes	Distribution of asymptotically standardized residuals	RESIDUAL=ASYSTAND $\text{[math]}$	PALL
DistNormRes	Distribution of normalized residuals	RESIDUAL=NORM $\text{[math]}$	PALL
DistRawRes	Distribution of raw residuals	RESIDUAL	PALL
DistVarStdRes	Distribution of variance standardized residuals	RESIDUAL=VARSTAND $\text{[math]}$	PALL
NormRes	Normalized residual matrix	RESIDUAL=NORM $\text{[math]}$	PALL
RawRes	Raw residual matrix	RESIDUAL $\text{[math]}$	PALL
RankAsymStdRes	Rank order of asymptotically standardized residuals	RESIDUAL=ASYSTAND $\text{[math]}$	PALL
RankNormRes	Rank order of normalized residuals	RESIDUAL=NORM $\text{[math]}$	PALL
RankRawRes	Rank order of raw residuals	RESIDUAL	PALL
RankVarStdRes	Rank order of variance standardized residuals	RESIDUAL=VARSTAND $\text{[math]}$	PALL
VarStdRes	Variance standardized residual matrix	RESIDUAL=VARSTAND $\text{[math]}$	PALL

1. In effect, the RESIDUAL= option specifies the RESIDUAL option and the type of residuals requested after the equal sign. For example, if you set RESIDUAL=ASYSTAND, asymptotically standardized residuals are requested, in addition to the printing of the tables enabled by the RESIDUAL option. In some cases, the RESIDUAL= option cannot be honored due to the specific estimation method or data type used. When this occurs, PROC TCALIS will determine the appropriate sets of normalized or standardized residuals to display. A warning message with an explanation will be printed.
2. Raw residuals are also printed for correlation analysis even if RESIDUAL or PALL is not specified.

ODS Tables for Model Specification and Results

Some ODS tables of this group are model-oriented. Others are not. Model-oriented ODS tables are printed for each model, while others are printed no more than once no matter how many models you have.

Non-Model-Oriented ODS Tables

The ODS tables that are not model-oriented are listed in the following table:

ODS Table Name	Description	Global Display Option	Additional Specification Required
AddParms	Estimates for additional parameters	PSHORT	PARAMETERS statement
AddParmsInit	Initial values for additional parameters	PSHORT	PARAMETERS statement
Fit	Fit summary	PSUMMARY
GroupFit	Fit comparison among groups	PSUMMARY	Multiple groups
ModelingInfo	General modeling information	PSHORT
ModelSummary	Summary of models and their labels and types	PSHORT	Multiple models $\text{[math]}$
ParmFunc	Parametric function testing	PSHORT	TESTFUNC statement
SimTest	Simultaneous tests of parametric functions	PSHORT	SIMTEST statement

1. This table is displayed when you have multiple models that have labels specified by the LABEL= option, or when you define a model with more than a single level of reference by using the REFMODEL option. Otherwise, the ModelingInfo table contains all pertinent information regarding the models in the analysis.

Model-Oriented ODS Tables

These ODS tables are model-oriented, meaning that each model has its own set of ODS tables in the output. There are three types of model specification and results printing in PROC TCALIS: initial specification, (unstandardized) estimated model results, and standardized model results. To distinguish these three types of ODS tables, different suffixes for the ODS table names are used. An "Init" suffix indicates initial specification, while a "Std" suffix indicates standardized solutions. All other tables are for unstandardized solutions.

These ODS tables require some specialized options to print. If you set the specialized option in the PROC TCALIS statement, it applies to all models. If you set the specialized option in the MODEL statement, it applies to the associated model only. Alternatively, to print all these ODS tables, you can use the PSHORT or any higher level global printing option in the PROC TCALIS statement. Either a specialized or a global printing option is sufficient to print these ODS tables. The following is a summary of the specialized and global printing options for these three types of ODS tables:

Type of ODS Tables	Table Name Suffix	Specialized Option	Global Display Option
Initial specification	Init	PINITIAL	PSHORT
Unstandardized solutions	(none)	PESTIM	PSHORT
Standardized solutions	Std	PESTIM, and NOSTAND not used	PSHORT

In the following list of ODS tables, the prefixes of the ODS table names indicate the modeling language required for the ODS tables to print. The last column of the list indicates whether the PRIMAT option is needed to print the corresponding ODS tables in matrix formats. You can use the PRIMAT option either in the PROC TCALIS or MODEL statement. If you want matrix output for all models, set this option in the PROC TCALIS statement. If you want matrix output for a specific model, set this option in the associated MODEL statement only.

ODS Table Name	Description	Additional Option
FACTORCov	Estimated factor covariances
FACTORCovInit	Initial factor covariances
FACTORCovStd	Factor correlations
FACTORErrVar	Estimated error variances
FACTORErrVarInit	Initial error variances
FACTORErrVarStd	Standardized results for error variances
FACTORIntercepts	Estimated intercepts
FACTORInterceptsInit	Initial intercepts
FACTORLoadings	Estimated factor loadings
FACTORLoadingsInit	Initial factor loadings
FACTORLoadingsStd	Standardized factor loadings
FACTORMeans	Estimated factor means
FACTORMeansInit	Initial factor means
FACTORRotCov	Estimated rotated factor covariances
FACTORRotCovStd	Rotated factor correlations
FACTORRotErrVar	Error variances in rotated solution
FACTORRotErrVarStd	Standardized results for error variances in rotated solution
FACTORRotLoadings	Rotated factor loadings
FACTORRotLoadingsStd	Standardized rotated factor loadings
FACTORRotMat	Rotation matrix
FACTORScoresRegCoef	Factor scores regression coefficients
FACTORVariables	Variables in the analysis
LINEQSAlpha	Estimated intercept vector	PRIMAT
LINEQSAlphaInit	Initial intercept vector	PRIMAT
LINEQSBeta	Estimated _EQSBETA_ matrix	PRIMAT
LINEQSBetaInit	Initial _EQSBETA_ matrix	PRIMAT
LINEQSBetaStd	Standardized results for _EQSBETA_ matrix	PRIMAT
LINEQSCovExog	Estimated covariances among exogenous variables
LINEQSCovExogInit	Initial covariances among exogenous variables
LINEQSCovExogStd	Standardized results for covariances among exogenous variables
LINEQSEq	Estimated equations
LINEQSEqInit	Initial equations
LINEQSEqStd	Standardized equations
LINEQSGamma	Estimated _EQSGAMMA_ matrix	PRIMAT
LINEQSGammaInit	Initial _EQSGAMMA_ matrix	PRIMAT
LINEQSGammaStd	Standardized results for _EQSGAMMA_ matrix	PRIMAT
LINEQSMeans	Estimated means for exogenous variables
LINEQSMeansInit	Initial means for exogenous variables
LINEQSNu	Estimated mean vector	PRIMAT
LINEQSNuInit	Initial mean vector	PRIMAT
LINEQSPhi	Estimated _EQSPHI_ matrix	PRIMAT
LINEQSPhiInit	Initial _EQSPHI_ matrix	PRIMAT
LINEQSPhiStd	Standardized results for _EQSPHI_ matrix	PRIMAT
LINEQSVarExog	Estimated variances of exogenous variables
LINEQSVarExogInit	Initial variances of exogenous variables
LINEQSVarExogStd	Standardized results for variances of exogenous variables
LINEQSVariables	Exogenous and endogenous variables
LISMODAlpha	Estimated _ALPHA_ vector
LISMODAlphaInit	Initial _ALPHA_ vector
LISMODBeta	Estimated _BETA_ matrix
LISMODBetaInit	Initial _BETA_ matrix
LISMODBetaStd	Standardized _BETA_ matrix
LISMODGamma	Estimated _GAMMA_ matrix
LISMODGammaInit	Initial _GAMMA_ matrix
LISMODGammaStd	Standardized _GAMMA_ matrix
LISMODKappa	Estimated _KAPPA_ vector
LISMODKappaInit	Initial _KAPPA_ vector
LISMODLambdaX	Estimated _LAMBDAX_ matrix
LISMODLambdaXInit	Initial _LAMBDAX_ matrix
LISMODLambdaXStd	Standardized _LAMBDAX_ matrix
LISMODLambdaY	Estimated _LAMBDAY_ matrix
LISMODLambdaYInit	Initial _LAMBDAY_ matrix
LISMODLambdaYStd	Standardized _LAMBDAY_ matrix
LISMODNuX	Estimated _NUX_ vector
LISMODNuXInit	Initial _NUX_ vector
LISMODNuY	Estimated _NUY_ vector
LISMODNuYInit	Initial _NUY_ vector
LISMODPhi	Estimated _PHI_ matrix
LISMODPhiInit	Initial _PHI_ matrix
LISMODPhiStd	Standardized _PHI_ matrix
LISMODPsi	Estimated _PSI_ matrix
LISMODPsiInit	Initial _PSI_ matrix
LISMODPsiStd	Standardized _PSI_ matrix
LISMODThetaX	Estimated _THETAX_ matrix
LISMODThetaXInit	Initial _THETAX_ matrix
LISMODThetaXStd	Standardized _THETAX_ matrix
LISMODThetaY	Estimated _THETAY_ matrix
LISMODThetaYInit	Initial _THETAY_ matrix
LISMODThetaYStd	Standardized _THETAY_ matrix
LISMODVariables	Variables in the model
MSTRUCTCov	Estimated _COV_ matrix
MSTRUCTCovInit	Initial _COV_ matrix
MSTRUCTCovStd	Standardized _COV_ matrix
MSTRUCTMean	Estimated _MEAN_ vector
MSTRUCTMeanInit	Initial _MEAN_ vector
MSTRUCTVariables	Variables in the model
PATHCovErrors	Estimated error covariances
PATHCovErrorsInit	Initial error covariances
PATHCovErrorsStd	Standardized error covariances
PATHCovVarErr	Estimated covariances bewteen exogenous variables and errors
PATHCovVarErrInit	Initial covariances bewteen exogenous variables and errors
PATHCovVarErrStd	Standardized results for covariances bewteen exogenous variables and errors
PATHCovVars	Estimated covariances among exogenous variables
PATHCovVarsInit	Initial covariances among exogenous variables
PATHCovVarsStd	Standardized results for covariances among exogenous variables
PATHList	Estimated path list
PATHListInit	Initial path list
PATHListStd	Standardized path list
PATHMeansIntercepts	Estimated intercepts
PATHMeansInterceptsInit	Initial intercepts
PATHVariables	Exogenous and endogenous variables
PATHVarParms	Estimated variances or error variances
PATHVarParmsInit	Initial variances or error variances
PATHVarParmsStd	Standardized results for variances or error variances
RAMAMat	Estimated _A_ matrix	PRIMAT
RAMAMatInit	Initial _A_ matrix	PRIMAT
RAMAMatStd	Standardized results of _A_ matrix	PRIMAT
RAMList	List of RAM estimates
RAMListInit	List of initial RAM estimates
RAMListStd	Standardized results for RAM estimates
RAMPMat	Estimated _P_ matrix	PRIMAT
RAMPMatInit	Initial _P_ matrix	PRIMAT
RAMPMatStd	Standardized results of _P_ matrix	PRIMAT
RAMVariables	Exogenous and endogenous variables
RAMWVec	Estimated mean and intercept vector	PRIMAT
RAMWVecInit	Initial mean and intercept vector	PRIMAT

ODS Tables for Supplementary Model Analysis

These ODS tables are model-oriented. They are printed for each model in your analysis. To display these ODS tables, you can set some specialized options in either the PROC TCALIS or MODEL statement. If the specialized options are used in the PROC TCALIS statement, they apply to all models. If the specialized options are used in the MODEL statement, they apply to the associated model only. For some of these ODS tables, certain specialized statements for the model might also enable the printing. Alternatively, you can use the global printing options in the PROC TCALIS statement to print these ODS tables. Either a specialized option (or statement) or a global printing option is sufficient to print a particular ODS table.

ODS Table Name	Description	Specialized Option or Statement	Global Display Option
Determination	Coefficients of determination	PDETERM DETERM $\text{[math]}$	default
DirectEffects	Direct effects	TOTEFF $\text{[math]}$	PRINT
DirectEffectsStd	Standardized direct effects	TOTEFF $\text{[math]}$	PRINT
EffectsOf	Effects of the listed variables	EFFPART $\text{[math]}$	PRINT
EffectsOn	Effects on the listed variables	EFFPART $\text{[math]}$	PRINT
IndirectEffects	Indirect effects	TOTEFF $\text{[math]}$	PRINT
IndirectEffectsStd	Standardized indirect effects	TOTEFF $\text{[math]}$	PRINT
LatentScoresRegCoef	Latent variable scores regression coefficients	PLATCOV	PRINT
PredCovLatent	Predicted covariances among latent variables	PLATCOV	PRINT
PredCovLatMan	Predicted covariances between latent and manifest variables	PLATCOV	PRINT
PredMeanLatent	Predicted means of latent variables	PLATCOV	PRINT
SqMultCorr	Squared multiple correlations	PESTIM	PSHORT
Stability	Stability coefficient of reciprocal causation	PDETERM, DETERM $\text{[math]}$	default
StdEffectsOf	Standardized effects of the listed variables	EFFPART $\text{[math]}$	PSHORT
StdEffectsOn	Standardized effects on the listed variables	EFFPART $\text{[math]}$	PSHORT
TotalEffects	Total effects	TOTEFF $\text{[math]}$	PRINT
TotalEffectsStd	Standardized total effects	TOTEFF $\text{[math]}$	PRINT

1. This refers to the TOTEFF or EFFPART option in the PROC TCALIS or MODEL statement.
2. This refers to the EFFPART statement specifications.
3. NOSTAND option must not be specified in the MODEL or PROC TCALIS statement.
4. PDETERM is an option specified in the PROC TCALIS or MODEL statement, while DETERM is a statement name.

ODS Tables for Model Modification Indices

To print the ODS tables for model modification indices, you can use the MODIFICATION option in either the PROC TCALIS or MODEL statement. When this option is set in the PROC TCALIS statement, it applies to all models. When this option is set in the MODEL statement, it applies to the associated model only. Alternatively, you can also use the PALL option in the PROC TCALIS statement to print these ODS tables.

If the NOMOD option is set in the PROC TCALIS statement, these ODS tables are not printed for all models, unless the MODIFICATION is respecified in the individual MODEL statements. If the NOMOD option is set in the MODEL statement, then the ODS tables for modification do not print for the associated model.

For convenience in presentation, three different classes of ODS tables for model modifications are described in the following. First, ODS tables for ranking of LM indices are the default printing when the MODIFICATION option is specified. Second, ODS tables for LM indices in matrix forms require an additional option to print. Last, ODS tables for other modification indices, including the Wald test indices, require specific data-analytic conditions to print. While the first two classes of ODS tables are model-oriented (that is, each model has its own sets of output), the third one is not.

ODS Table Names for Ranking of LM indices

Rankings of LM indices in separate regions of parameter space are the default printing format. You can turn off this default printing by the NODEFAULT option in the LMTESTS statement for models. If you want to print matrices of LM test indices rather than the rankings of LM test indices, you can use the NORANK or MAXRANK=0 option in the LMTESTS statement.

These ODS tables are specific to the types of modeling languages used. This is noted in the last column of the following table.

ODS Table Name	Description	Model
LMRankCov	Covariances among variables	MSTRUCT
LMRankCovErr	Covariances among errors	LINEQS
LMRankCovErrofVar	Covariances among errors of variables	RAM or PATH
LMRankCovExog	Covariances among existing exogenous variables	LINEQS, PATH, or RAM
LMRankCovFactors	Covariance among factors	FACTOR
LMRankErrorVar	Error variances	FACTOR
LMRankFactMeans	Factor means	FACTOR
LMRankIntercepts	Intercepts	FACTOR, LINEQS, PATH, or RAM
LMRankLoadings	Factor loadings	FACTOR
LMRankMeans	Means of existing variables	LINEQS, MSTRUCT, PATH, or RAM
LMRankPaths	All possible paths in the model	PATH or RAM
LMRankPathsFromEndo	Paths from existing endogenous variables	LINEQS
LMRankPathsFromExog	Paths from existing exogenous variables	LINEQS
LMRankPathsNewEndo	Paths to existing exogenous variables	LINEQS
LMRankLisAlpha	LISMOD _ALPHA_	LISMOD
LMRankLisBeta	LISMOD _BETA_	LISMOD
LMRankLisGamma	LISMOD _GAMMA_	LISMOD
LMRankLisKappa	LISMOD _KAPPA_	LISMOD
LMRankLisLambdaX	LISMOD _LAMBDAX_	LISMOD
LMRankLisLambdaY	LISMOD _LAMBDAY_	LISMOD
LMRankLisNuX	LISMOD _NUX_	LISMOD
LMRankLisNuY	LISMOD _NUY_	LISMOD
LMRankLisPhi	LISMOD _PHI_	LISMOD
LMRankLisPsi	LISMOD _PSI_	LISMOD
LMRankLisThetaX	LISMOD _THETAX_	LISMOD
LMRankLisThetaY	LISMOD _THETAY_	LISMOD
LMRankMySet	Customized sets of new parameters defined in LMTESTS statements	any model

ODS Table Names for Lagrange Multiplier Tests in Matrix Form

To print matrices of LM test indices for a model, you must also use the LMMAT option in the LMTESTS statement for the model. This option itself is not sufficient for all the matrices of LM tests to print. Only those matrices associated with the LM test indices that are selected (by default or by customized sets) in the LMTESTS statement will be printed.

These ODS tables are specific to the types of modeling languages used in the model. This is noted in the last column of the following table.

ODS Table Name	Description	Model
LMEqsAlpha	_EQSALPHA_ vector	LINEQS
LMEqsBeta	_EQSBETA_ matrix	LINEQS
LMEqsGammaSub	_EQSGAMMA_ matrix, excluding entries with error variables in columns	LINEQS
LMEqsNewDep	New rows for expanding _EQSBETA_ and _EQSGAMMA_ matrices	LINEQS
LMEqsNuSub	_EQSNU_ vector, excluding fixed zero means for error variables	LINEQS
LMEqsPhi	_EQSPHI_ matrix	LINEQS
LMEqsPhi11	Upper left partition (exogenous variances and covariances) of the _EQSPHI_ matrix	LINEQS
LMEqsPhi21	Lower left partition (error variances and covariances) of the _EQSPHI_ matrix	LINEQS
LMEqsPhi22	Lower right partition (error variances and covariances) of the _EQSPHI_ matrix	LINEQS
LMFactErrv	Vector of error variances	FACTOR
LMFactFcov	Factor covariance matrix	FACTOR
LMFactInte	Intercept vector	FACTOR
LMFactLoad	Factor loading matrix	FACTOR
LMFactMean	Factor mean vector	FACTOR
LMLisAlpha	LISMOD _ALPHA_ vector	LISMOD
LMLisBeta	LISMOD _BETA_ matrix	LISMOD
LMLisGamma	LISMOD _GAMMA_ matrix	LISMOD
LMLisKappa	LISMOD _KAPPA_ vector	LISMOD
LMLisLambdaX	LISMOD _LAMBDAX_ matrix	LISMOD
LMLisLambdaY	LISMOD _LAMBDAY_ matrix	LISMOD
LMLisNuX	LISMOD _NUX_ vector	LISMOD
LMLisNuY	LISMOD _NUY_ vector	LISMOD
LMLisPhi	LISMOD _PHI_ matrix	LISMOD
LMLisPsi	LISMOD _PSI_ matrix	LISMOD
LMLisThetaX	LISMOD _THETAX_ matrix	LISMOD
LMLisThetaY	LISMOD _THETAY_ matrix	LISMOD
LMMstructCov	Covariance matrix	MSTRUCT
LMMstructMean	Mean vector	MSTRUCT
LMRamA	_RAMA_ matrix	RAM
LMRamALower	Lower partitions of the _RAMA_ matrix	RAM
LMRamAUpper	Upper partitions of the _RAMA_ matrix	RAM
LMRamAlpha	_RAMALPHA_ matrix	RAM
LMRamBeta	Upper left partition of the _RAMA_ matrix	RAM
LMRamGamma	Upper right partition of the _RAMA_ matrix	RAM
LMRamNu	_RAMNU_ matrix	RAM
LMRamP	_RAMP_ matrix	RAM
LMRamP11	Upper left partition of the _RAMP_ matrix	RAM
LMRamP21	Lower left partition of the _RAMP_ matrix	RAM
LMRamP22	Lower right partition of the _RAMP_ matrix	RAM
LMRamW	_RAMW_ matrix	RAM

ODS Table Names for Other Modification Indices

The following table shows the ODS tables for the remaining modification indices.

ODS Table Name	Description	Additional Requirement
LagrangeBoundary	LM tests for active boundary constraints	Presence of active boundary constraints
LagrangeDepParmEquality	LM tests for equality constraints in dependent parameters	Presence of equality constraints in dependent parameters
LagrangeEquality	LM tests for equality constraints	Presence of equality constraints in independent parameters
WaldTest	Wald tests for testing existing parameters equaling zeros	At least one insignificant parameter value

ODS Table for Optimization Control and Results

To display the ODS tables for optimization control and results, you must specify any of the following global display options in the PROC TCALIS statement: PSHORT, PRINT, PALL, or default (that is, NOPRINT is not specified). Also, you must not use the NOPRINT option in the NLOPTIONS statement. For some of these tables, you must also specify additional options, either in the PROC TCALIS or the NLOPTIONS statement. Some restrictions might apply. Additional options and restrictions are noted in the last column.

ODS Table Name	Description	Additional Option Required or Restriction
CovParm	Covariances of parameters	PCOVES $\text{[math]}$ or PALL $\text{[math]}$ , restriction $\text{[math]}$
ConvergenceStatus	Convergence status
DependParmsResults	Final dependent parameter estimates	Restriction $\text{[math]}$
DependParmsStart	Initial dependent parameter estimates	Restriction $\text{[math]}$
Information	Information matrix	PCOVES $\text{[math]}$ or PALL $\text{[math]}$ , restriction $\text{[math]}$
InitEstMethod	Initial estimation methods
InputOptions	Optimization options	PALL $\text{[math]}$
IterHist	Iteration history
IterStart	Iteration start
IterStop	Iteration stop
Lagrange	First and second order Lagrange multipliers	PALL $\text{[math]}$
LinCon	Linear constraints	PALL $\text{[math]}$ , restriction $\text{[math]}$
LinConDel	Deleted constraints	PALL $\text{[math]}$ , restriction $\text{[math]}$
LinConSol	Linear constraints evaluated at solution	PALL $\text{[math]}$ , restriction $\text{[math]}$
LinDep	Linear dependencies of parameter estimates	Restriction $\text{[math]}$
ParameterEstimatesResults	Final estimates
ParameterEstimatesStart	Initial estimates
ProblemDescription	Problem description
ProjGrad	Projected gradient	PALL $\text{[math]}$

1. PCOVES option is specified in the PROC TCALIS statement.
2. PALL option is specified in the NLOPTIONS statement.
3. Estimation method must not be ULS or DWLS.
4. Existence of dependent parameters.
5. Linear equality or boundary constraints are imposed.
6. Existence of parameter dependencies during optimization, but not due to model specification.

Note: This procedure is experimental.

Top of Page