PROC CALIS 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 CALIS procedure. The conditions for these ODS tables to display vary a lot. For convenience in presentation, the ODS tables for the PROC CALIS procedure are organized in the following categories:
ODS tables for descriptive statistics, missing patterns, 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 CALIS 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 CALIS 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.
These ODS tables are grouporiented, 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 CALIS or GROUP statement. If the specialized option is set in the PROC CALIS 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 CALIS statement to print these tables. Either a specialized or a global printing option is sufficient to print the tables.
ODS Table Name 
Description 
Specialized Option 
Global Display Option 

ContKurtosis 
Contributions to kurtosis from observations 

CovRobust 
Robust covariance matrix, with raw data input 

CovDetRobust 
Determinant of the robust covariance matrix, with raw data input 

InCorr 
Input correlation matrix 

InCorrDet 
Determinant of the input correlation matrix 

InCov 
Input covariance matrix 

InCovDet 
Determinant of the input covariance matrix 

InMean 
Input mean vector 

Kurtosis 
Kurtosis, with raw data input 

MeanRobust 
Robust mean vector, with raw data input 

PredCorr 
Predicted correlation matrix 

PredCorrDet 
Determinant of the predicted correlation matrix 

PredCov 
Predicted covariance matrix 

PredCovDet 
Determinant of the predicted covariance matrix 

PredMean 
Predicted mean vector 

RidgedCovRobust 
Ridged robust covariance matrix, with raw data input 

RidgedCovDetRobust 
Determinant of the ridged robust covariance matrix, with raw data input 

RidgedInCorr 
Ridged input correlation matrix 

RidgedInCorrDet 
Determinant of the ridged input correlation matrix 

RidgedInCov 
Ridged input covariance matrix 

RidgedInCovDet 
Determinant of the ridged input covariance matrix 

SimpleStatistics 
Simple statistics, with raw data input 
Default 

Weights 
Weight matrix 

WeightsDet 
Determinant of the weight matrix 
1. Robust estimation with the ROBUST option is required.
ODS Table Name 
Description 
Specialized Option 
Global Display Option 

AveCoverage 
Average proportion coverages of means (variances) and covariances 
Default 

MeanCovCoverage 
Proportions of data present for means (variances) and covariances 
Default 

MissPatternsMeans 
Means of the nonmissing and the most frequent missing patterns 
Default 

RankCovCoverage 
Rank order of the covariance coverages 
Default 

RankMissPatterns 
Rank order of the most frequent missing patterns 
Default 

RankVariableCoverage 
Rank order of the proportion coverages of the variables 
Default 
1. You can use the NOMISSPAT option in the PROC CALIS statement to suppress the analytic output of the missing patterns. If you use the NOMISSPAT option in the GROUP statements, only the output of the missing pattern analysis for the corresponding groups are suppressed.2. PROC CALIS outputs these tables by default only when there are incomplete observations in the data sets and you use METHOD= FIML or METHOD= LSFIML for estimation.
ODS Table Name 
Description 
Specialized Option 
Global Display Option 

Residuals in the Moment Matrices 

AsymStdRes 
Asymptotically standardized residual matrix 
RESIDUAL=ASYSTAND 

AveAsymStdRes 
Average of absolute asymptotically standardized residual values 
RESIDUAL=ASYSTAND 

AveNormRes 
Average of absolute normalized residual values 
RESIDUAL=NORM 

AveRawRes 
Average of absolute raw residual values 
RESIDUAL 

AveVarStdRes 
Average of absolute variance standardized residual values 
RESIDUAL=VARSTAND 

DistAsymStdRes 
Distribution of asymptotically standardized residuals 
RESIDUAL=ASYSTAND 

DistNormRes 
Distribution of normalized residuals 
RESIDUAL=NORM 

DistRawRes 
Distribution of raw residuals 
RESIDUAL 

DistVarStdRes 
Distribution of variance standardized residuals 
RESIDUAL=VARSTAND 

NormRes 
Normalized residual matrix 
RESIDUAL=NORM 

RawRes 
Raw residual matrix 
RESIDUAL 

RankAsymStdRes 
Rank order of asymptotically standardized residuals 
RESIDUAL=ASYSTAND 

RankNormRes 
Rank order of normalized residuals 
RESIDUAL=NORM 

RankRawRes 
Rank order of raw residuals 
RESIDUAL 

RankVarStdRes 
Rank order of variance standardized residuals 
RESIDUAL=VARSTAND 

VarStdRes 
Variance standardized residual matrix 
RESIDUAL=VARSTAND 

CaseLevel Residuals 

DepartResidualDist 
Departures from the theoretical distribution for the residual Mdistances 
RESIDUAL 

Leverage 
Observations with largest leverage Mdistances 
RESIDUAL 

Outlier 
Observations with largest residual Mdistances 
RESIDUAL 
1. The RESIDUAL= option specifies the RESIDUAL option and the type of residuals. For example, RESIDUAL=ASYSTAND requests asymptotically standardized residuals, in addition to the tables enabled by the RESIDUAL option. In some cases, the requested types of residuals are not available due to the specific estimation method or the data type used. When this occurs, PROC CALIS will determine the appropriate types of normalized or standardized residuals to display. 2. Raw residuals are also printed for correlation analysis even if RESIDUAL or PALL is not specified.3. Raw data input is required.
Some ODS tables of this group are modeloriented. Others are not. Modeloriented ODS tables are printed for each model, while others are printed no more than once no matter how many models you have.
The ODS tables that are not modeloriented are listed in the following table:
ODS Table Name 
Description 
Global Display Option 
Additional Specification Required 

AddParms 
Estimates for additional parameters 
PARAMETERS statement 

AddParmsInit 
Initial values for additional parameters 
PARAMETERS statement 

Fit 
Fit summary 

GroupFit 
Fit comparison among groups 
Multiple groups 

ModelingInfo 
General modeling information 

ModelSummary 
Summary of models and their labels and types 
Multiple models 

ParmFunc 
Parametric function testing 
TESTFUNC statement 

SimTest 
Simultaneous tests of parametric functions 
SIMTESTS 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.
These ODS tables are modeloriented, 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 CALIS: 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 CALIS 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 CALIS 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 

Unstandardized solutions 
(none) 

Standardized solutions 
Std 
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 CALIS or MODEL statement. If you want matrix output for all models, set this option in the PROC CALIS 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 

COSANVariables 
Variables in the COSAN model 

COSANModel 
Mean and covariance structure formulas 

COSANMatrixSummary 
Summary of COSAN model matrices 

COSANMatrix 
Estimated model matrix 

COSANMatrixInit 
Initial model matrix 

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 

LINEQSAlphaInit 
Initial intercept vector 

LINEQSBeta 
Estimated _EQSBETA_ matrix 

LINEQSBetaInit 
Initial _EQSBETA_ matrix 

LINEQSBetaStd 
Standardized results for _EQSBETA_ matrix 

LINEQSCovExog 
Estimated covariances among exogenous variables 

LINEQSCovExogInit 
Initial covariances among exogenous variables 

LINEQSCovExogStd 
Standardized results for covariances among exogenous variables 

LINEQSEffects 
Estimated effects in equations 

LINEQSEffectsStd 
Estimated standardized effects in equations 

LINEQSEq 
Estimated equations 

LINEQSEqInit 
Initial equations 

LINEQSEqStd 
Standardized equations 

LINEQSGamma 
Estimated _EQSGAMMA_ matrix 

LINEQSGammaInit 
Initial _EQSGAMMA_ matrix 

LINEQSGammaStd 
Standardized results for _EQSGAMMA_ matrix 

LINEQSMeans 
Estimated means for exogenous variables 

LINEQSMeansInit 
Initial means for exogenous variables 

LINEQSNu 
Estimated mean vector 

LINEQSNuInit 
Initial mean vector 

LINEQSPhi 
Estimated _EQSPHI_ matrix 

LINEQSPhiInit 
Initial _EQSPHI_ matrix 

LINEQSPhiStd 
Standardized results for _EQSPHI_ matrix 

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 between exogenous variables and errors 

PATHCovVarErrInit 
Initial covariances between exogenous variables and errors 

PATHCovVarErrStd 
Standardized results for covariances between 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 

RAMAMatInit 
Initial _A_ matrix 

RAMAMatStd 
Standardized results of _A_ matrix 

RAMList 
List of RAM estimates 

RAMListInit 
List of initial RAM estimates 

RAMListStd 
Standardized results for RAM estimates 

RAMPMat 
Estimated _P_ matrix 

RAMPMatInit 
Initial _P_ matrix 

RAMPMatStd 
Standardized results of _P_ matrix 

RAMVariables 
Exogenous and endogenous variables 

RAMWVec 
Estimated mean and intercept vector 

RAMWVecInit 
Initial mean and intercept vector 
These ODS tables are modeloriented. They are printed for each model in your analysis. To display these ODS tables, you can set some specialized options in either the PROC CALIS or MODEL statement. If the specialized options are used in the PROC CALIS 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 CALIS 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 
Default 

DirectEffects 
Direct effects 

DirectEffectsStd 
Standardized direct effects 

EffectsOf 
Effects of the listed variables 

EffectsOn 
Effects on the listed variables 

IndirectEffects 
Indirect effects 

IndirectEffectsStd 
Standardized indirect effects 

LatentScoresRegCoef 
Latent variable scores regression coefficients 

PredCovLatent 
Predicted covariances among latent variables 

PredCovLatMan 
Predicted covariances between latent and manifest variables 

PredMeanLatent 
Predicted means of latent variables 

SqMultCorr 
Squared multiple correlations 

Stability 
Stability coefficient of reciprocal causation 
Default 

StdEffectsOf 
Standardized effects of the listed variables 

StdEffectsOn 
Standardized effects on the listed variables 

TotalEffects 
Total effects 

TotalEffectsStd 
Standardized total effects 
1. This refers to the TOTEFF or EFFPART option in the PROC CALIS or MODEL statement. 2. This refers to the EFFPART statement specifications. 3. NOSTAND option must not be specified in the MODEL or PROC CALIS statement. 4. PDETERM is an option specified in the PROC CALIS or MODEL statement, while DETERM is a statement name.
To print the ODS tables for model modification indices, you can use the MODIFICATION option in either the PROC CALIS or MODEL statement. When this option is set in the PROC CALIS 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 CALIS statement to print these ODS tables.
If the NOMOD option is set in the PROC CALIS 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 dataanalytic conditions to print. While the first two classes of ODS tables are modeloriented (that is, each model has its own sets of output), the third one is not.
Rankings of the LM statistics in different regions of parameter space are the default printing format when you specify the MODIFICATION option in the PROC CALIS or MODEL statement. You can also turn off these default printing by the NODEFAULT option in the LMTESTS statement for models. If you want to print matrices of LM test statistics rather than the rankings of LM test statistics, you can use the NORANK or MAXRANK=0 option in the LMTESTS statement.
These ODS tables for ranking LM statistics 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 

LMRankCosanMatrix 
Any COSAN model matrix 
COSAN 
LMRankCov 
Covariances among variables 
MSTRUCT 
LMRankCovErr 
Covariances among errors 
LINEQS 
LMRankCovErrofVar 
Covariances among errors of variables 
PATH 
LMRankCovExog 
Covariances among existing exogenous variables 
LINEQS or PATH 
LMRankCovFactors 
Covariance among factors 
FACTOR 
LMRankCustomSet 
Customized sets of parameters defined in LMTESTS statements 
any model 
LMRankErrorVar 
Error variances 
FACTOR 
LMRankFactMeans 
Factor means 
FACTOR 
LMRankIntercepts 
Intercepts 
FACTOR, LINEQS, or PATH 
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 
LMRankLoadings 
Factor loadings 
FACTOR 
LMRankMeans 
Means of existing variables 
LINEQS, MSTRUCT, or PATH 
LMRankPaths 
All possible paths in the model 
PATH 
LMRankPathsFromEndo 
Paths from existing endogenous variables 
LINEQS 
LMRankPathsFromExog 
Paths from existing exogenous variables 
LINEQS 
LMRankPathsNewEndo 
Paths to existing exogenous variables 
LINEQS 
LMRankRamA 
_RAMA_ matrix 
RAM 
LMRankRamAlpha 
_RAMALPHA_ matrix 
RAM 
LMRankRamNu 
_RAMNU_ matrix 
RAM 
LMRankRamP11 
_RAMP11_ matrix 
RAM 
LMRankRamP22 
_RAMP22_ matrix 
RAM 
To print matrices of LM test indices for a model, you must also use the LMMAT option in the LMTESTS statement for the model. Some of these matrices are printed by default, while others are printed only when certain regions of parameter are specified in the LM test sets. In the following tables, the ODS table names for LM test statistics in matrix form are listed for each model type.
ODS Table Name 
Description 
Selected Region in Test Sets 

LMCosanMatrix 
Any COSAN model matrix 
(default) 
ODS Table Name 
Description 
Selected Region in Test Sets 

LMFactErrv 
Vector of error variances 
FACTERRV (default) 
LMFactFcov 
Factor covariance matrix 
FACTFCOV (default) 
LMFactInte 
Intercept vector 
FACTINTE (default) 
LMFactLoad 
Factor loading matrix 
FACTLOAD (default) 
LMFactMean 
Factor mean vector 
FACTMEAN (default) 
ODS Table Name 
Description 
Selected Regions in Test Sets 

LMEqsAlpha 
_EQSALPHA_ vector 
_EQSALPHA_ (default) 
LMEqsBeta 
_EQSBETA_ matrix 
_EQSBETA_ (default) 
LMEqsGammaSub 
_EQSGAMMA_ matrix, excluding entries with error variables in columns 
_EQSGAMMA_ (default) 
LMEqsNewDep 
New rows for expanding _EQSBETA_ and _EQSGAMMA_ matrices 
NEWDEP 
LMEqsNuSub 
_EQSNU_ vector, excluding fixed zero means for error variables 
_EQSNU_ (default) 
LMEqsPhi 
_EQSPHI_ matrix 
_EQSPHI_ alone or _EQSPHI11_, _EQSPHI21_ and _EQSPHI22_ together 
LMEqsPhi11 
Upper left portion (exogenous variances and covariances) of the _EQSPHI_ matrix 
_EQSPHI11_ (default) 
LMEqsPhi21 
Lower left portion (error variances and covariances) of the _EQSPHI_ matrix 
_EQSPHI21_ 
LMEqsPhi22 
Lower right portion (error variances and covariances) of the _EQSPHI_ matrix 
_EQSPHI22_ (default) 
ODS Table Name 
Description 
Selected Regions in Test Sets 

LMLisAlpha 
LISMOD _ALPHA_ vector 
_ALPHA_ (default) 
LMLisBeta 
LISMOD _BETA_ matrix 
_BETA_ (default) 
LMLisGamma 
LISMOD _GAMMA_ matrix 
_GAMMA_ (default) 
LMLisKappa 
LISMOD _KAPPA_ vector 
_KAPPA_ (default) 
LMLisLambdaX 
LISMOD _LAMBDAX_ matrix 
_LAMBDAX_ (default) or _LAMBDA_ 
LMLisLambdaY 
LISMOD _LAMBDAY_ matrix 
_LAMBDAY_ (default) or _LAMBDA_ 
LMLisNuX 
LISMOD _NUX_ vector 
_NUX_ (default) or _NU_ 
LMLisNuY 
LISMOD _NUY_ vector 
_NUY_ (default) or _NU_ 
LMLisPhi 
LISMOD _PHI_ matrix 
_PHI_ (default) 
LMLisPsi 
LISMOD _PSI_ matrix 
_PSI_ (default) 
LMLisThetaX 
LISMOD _THETAX_ matrix 
_THETAX_ (default) or _THETA_ 
LMLisThetaY 
LISMOD _THETAY_ matrix 
_THETAY_ (default) or _THETA_ 
ODS Table Name 
Description 
Selected Regions in Test Sets 

LMMstructCov 
Covariance matrix 
MSTRUCTCOV (default) or _COV_ 
LMMstructMean 
Mean vector 
MSTRUCTMEAN (default) or _MEAN_ 
ODS Table Name 
Description 
Selected Regions in Test Sets 

LMRamA 
_RAMA_ matrix 
ARROWS or _RAMA_ (default) 
LMRamALeft 
Left portion of the _RAMA_ matrix 
_RAMA_LEFT_ alone or _RAMBETA_ and _RAMA_LL_ together 
LMRamALL 
Lower left portion of the _RAMA_ matrix 
_RAMA_LL_ 
LMRamALower 
Lower portion of the _RAMA_ matrix 
NEWENDO or _RAMA_LOWER_ or _RAMA_LL_ and _RAMA_LR_ together 
LMRamALR 
Lower right portion of the _RAMA_ matrix 
_RAMA_LR_ 
LMRamARight 
Right portion of the _RAMA_ matrix 
_RAMA_RIGHT_ 
LMRamAUpper 
Upper portion of the _RAMA_ matrix 
_RAMA_UPPER_ alone or _RAMBETA_ and _RAMGAMMA_ together 
LMRamAlpha 
_RAMALPHA_ matrix 
INTERCEPTS (default) 
LMRamBeta 
Upper left portion of the _RAMA_ matrix 
_RAMBETA_ 
LMRamGamma 
Upper right portion of the _RAMA_ matrix 
_RAMGAMMA_ 
LMRamNu 
_RAMNU_ matrix 
MEANS (default) 
LMRamP 
_RAMP_ matrix 
_RAMP_ alone or _RAMP11_, _RAMP21_, and _RAMP22_ together 
LMRamP11 
Upper left portion of the _RAMP_ matrix 
COVERR (default) 
LMRamP21 
Lower left portion of the _RAMP_ matrix 
COVEXOGERR 
LMRamP22 
Lower right portion of the _RAMP_ matrix 
COVEXOG (default) 
LMRamW 
_RAMW_ matrix 
FIRSTMOMENTS alone or MEANS and INTERCEPTS together 
ODS Table Name 
Description 
Selected Regions in Test Sets 

LMRamA 
_RAMA_ matrix 
_RAMA_ (default) 
LMRamALeft 
Left portion of the _RAMA_ matrix 
_RAMA_LEFT_ alone or _RAMBETA_ and _RAMA_LL_ together 
LMRamALL 
Lower left portion of the _RAMA_ matrix 
_RAMA_LL_ 
LMRamALower 
Lower portion of the _RAMA_ matrix 
NEWENDO or _RAMA_LOWER_ or _RAMA_LL_ and _RAMA_LR_ together 
LMRamALR 
Lower right portion of the _RAMA_ matrix 
_RAMA_LR_ 
LMRamARight 
Right portion of the _RAMA_ matrix 
_RAMA_RIGHT_ 
LMRamAUpper 
Upper portion of the _RAMA_ matrix 
_RAMBETA_ and _RAMGAMMA_ 
LMRamAlpha 
_RAMALPHA_ matrix 
_RAMALPHA_ (default) 
LMRamBeta 
Upper left portion of the _RAMA_ matrix 
_RAMBETA_ 
LMRamGamma 
Upper right portion of the _RAMA_ matrix 
_RAMGAMMA_ 
LMRamNu 
_RAMNU_ matrix 
_RAMNU_ (default) 
LMRamP 
_RAMP_ matrix 
_RAMP_ alone or _RAMP11_, _RAMP21_, and _RAMP22_ together 
LMRamP11 
Upper left portion of the _RAMP_ matrix 
_RAMP11_ (default) 
LMRamP21 
Lower left portion of the _RAMP_ matrix 
_RAMP21_ 
LMRamP22 
Lower right portion of the _RAMP_ matrix 
_RAMP22_ (default) 
LMRamW 
_RAMW_ matrix 
_RAMW_ 
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 
To display the ODS tables for optimization control and results, you must specify any of the following global display options in the PROC CALIS statement: 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 CALIS 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 

ConvergenceStatus 
Convergence status 

DependParmsResults 
Final dependent parameter estimates 
Restriction 
DependParmsStart 
Initial dependent parameter estimates 
Restriction 
Information 
Information matrix 

InitEstMethods 
Initial estimation methods 

InputOptions 
Optimization options 

IterHist 
Iteration history 

IterStart 
Iteration start 

IterStop 
Iteration stop 

Lagrange 
First and second order Lagrange multipliers 

LinCon 
Linear constraints 
PALL , restriction 
LinConDel 
Deleted constraints 
PALL , restriction 
LinConSol 
Linear constraints evaluated at solution 
PALL , restriction 
LinDep 
Linear dependencies of parameter estimates 
Restriction 
ParameterEstimatesResults 
Final estimates 

ParameterEstimatesStart 
Initial estimates 

ProblemDescription 
Problem description 

ProjGrad 
Projected gradient 
1. PCOVES option is specified in the PROC CALIS 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.