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

The CALIS Procedure

ODS Table Names

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. These names are listed in the following table. For more information about ODS, see Chapter 20, Using the Output Delivery System.

Table 25.15 ODS Tables Produced by PROC CALIS
ODS Table Name	Model $\text{[math]}$	Description	Option $\text{[math]}$
AddParms	C, F, L, R	Additional parameters in the PARAMETERS statement	PINITIAL or default
AsymStdRes	C, F, L, R	Asymptotically standardized residual matrix	RESIDUAL= or PRINT
AveAsymStdRes	C, F, L, R	Average absolute asymptotically standardized residuals	RESIDUAL= or PRINT
AveNormRes	C, F, L, R	Average absolute normalized residuals	RESIDUAL= or PRINT
AveRawRes	C, F, L, R	Average absolute raw residuals	RESIDUAL= or PRINT
AveVarStdRes	C, F, L, R	Average absolute variance standardized residuals	RESIDUAL= or PRINT
ContKurtosis	C, F, L, R	Contributions to kurtosis	KURTOSIS or PRINT
ConvergenceStatus	C, F, L, R	Convergence status	PSHORT
CorrExog	L	Correlations among exogenous variables	PESTIM or PSHORT
CorrParm	C, F, L, R	Correlations among parameter estimates	PCOVES and default
CovMat	C, F, L, R	Assorted covariance matrices	PCOVES and default
DependParms	C, F, L, R	Dependent parameters (if specified by programming statements)	PRIVEC and default
Determination	L, F, R	Coefficients of determination	PDETERM and default
DistAsymStdRes	C, F, L, R	Distribution of asymptotically standardized residuals	RESIDUAL= or PRINT
DistNormRes	C, F, L, R	Distribution of normalized residuals	RESIDUAL= or PRINT
DistVarStdRes	C, F, L, R	Distribution of variance standardized residuals	RESIDUAL= or PRINT
Eigenvalues	C, F, L, R	Eigenvalues of the approximate Hessian matrix	PCOVES $\text{[math]}$ and default
EndogenousVar	L	Endogenous variables	PESTIM or PSHORT
EstCovExog	L	Estimated covariances among exogenous variables	PESTIM or PSHORT
Estimates	C, F, L, R	Vector of estimates	PRIVEC
EstLatentEq	L	Estimated latent variable equations	PESTIM or PSHORT
EstManifestEq	L	Estimated manifest variable equations	PESTIM or PSHORT
EstParms	C, F	Estimated parameter matrix	PESTIM or PSHORT
EstVarExog	L	Estimated variances of exogenous variables	PESTIM or PSHORT
ExogenousVar	L	List of exogenous variables	PESTIM or PSHORT
FactCorrExog	F	Correlations among factors	PESTIM or PSHORT
FactScoreCoef	F	Factor score regression coefficients	PESTIM or PSHORT
Fit	C, F, L, R	Fit statistics	PSUMMARY
GenModInfo	C, F, L, R	General modeling information	PSIMPLE or default
Gradient	C, F, L, R	First partial derivatives (Gradient)	PRIVEC and default
InCorr	C, F, L, R	Input correlation matrix	PCORR or PALL
InCorrDet	C, F, L, R	Determinant of the input correlation matrix	PCORR or PALL
InCov	C, F, L, R	Input covariance matrix	PCORR or PALL
InCovDet	C, F, L, R	Determinant of the input covariance matrix	PCORR or PALL
InCovExog	L	Input covariances among exogenous variables	PESTIM or PSHORT
IndirectEffects	L, R	Indirect effects	TOTEFF or PRINT
Information	C, F, L, R	Information matrix	PCOVES and default
InitEstimates	C, F, L, R	Initial vector of parameter estimates	PINITIAL or default
InitParms	C, F	Initial matrix of parameter estimates	PINITIAL or default
InitParms	L, R	Initial matrix of parameter estimates	PRIMAT and default
InitRAMEstimates	R	Initial RAM estimates	PESTIM or PSHORT
InLatentEq	L	Input latent variable equations	PESTIM or PSHORT
InManifestEq	L	Input manifest variable equations	PESTIM or PSHORT
InSymmetric	C, F, L, R	Input symmetric matrix (SYMATRIX data type)	PCORR or PALL
InVarExog	L	Input variances of exogenous variables	PESTIM or PSHORT
IterHist	C, F, L, R	Iteration history	PSHORT
IterStart	C, F, L, R	Iteration start	PSHORT
IterStop	C, F, L, R	Iteration stop	PSHORT
Jacobian	C, F, L, R	Jacobi column pattern	PJACPAT
Kurtosis	C, F, L, R	Kurtosis, with raw data input	KURTOSIS or PRINT
LagrangeBoundary	C, F, L, R	Lagrange, releasing active boundary constraints	MODIFICATION $\text{[math]}$ or PALL
LagrangeEquality	C, F, L, R	Lagrange, releasing equality constraints	MODIFICATION or PALL
LatentScoreCoef	L, R	Latent variable regression score coefficients	PLATCOV or PRINT
ModelStatement	C, F, L, R	Model summary	PSHORT
ModIndices	C, F, L, R	Lagrange multiplier and Wald test statistics	MODIFICATION or PALL
NormRes	C, F, L, R	Normalized residual matrix	RESIDUAL= or PRINT
PredetElements	C, F, L, R	Predetermined elements	PREDET or PALL
PredModel	C, F, L, R	Predicted model matrix	PCORR or PALL
PredModelDet	C, F, L, R	Predicted model determinant	PCORR or PALL
PredMomentLatent	L, R	Predicted latent variable moments	PLATCOV or PRINT
PredMomentManLat	L, R	Predicted manifest and latent variable moments	PLATCOV or PRINT
ProblemDescription	C, F, L, R	Problem description	PSHORT
RAMCorrExog	R	Correlations among exogenous variables	PESTIM or PSHORT
RAMEstimates	R	RAM final estimates	PESTIM, or PSHORT
RAMStdEstimates	R	Standardized estimates	PESTIM, or PSHORT
RankAsymStdRes	C, F, L, R	Ranking of the largest asymptotically standardized residuals	RESIDUAL= or PRINT
RankLagrange	C, F, L, R	Ranking of the largest Lagrange indices	RESIDUAL= or PRINT
RankNormRes	C, F, L, R	Ranking of the largest normalized residuals	RESIDUAL= or PRINT
RankRawRes	C, F, L, R	Ranking of the largest raw residuals	RESIDUAL= or PRINT
RankVarStdRes	C, F, L, R	Ranking of the largest variance standardized residuals	RESIDUAL= or PRINT
RawRes	C, F, L, R	Raw residual matrix	RESIDUAL= or PRINT
RotatedLoadings	F	Rotated loadings, with ROTATE= option in FACTOR statement	PESTIM or PSHORT
Rotation	F	Rotation matrix, with ROTATE= option in FACTOR statement	PESTIM or PSHORT
SetCovExog	L, R	Set covariance parameters for manifest exogenous variables	PINITIAL or default
SimpleStatistics	C, F, L, R	Simple statistics, with raw data input	SIMPLE or default
SqMultCorr	F, L, R	Squared multiple correlations	PESTIM or PSHORT
Stability	L, R	Stability of reciprocal causation	PDETERM and default
StdErrs	C, F, L, R	Vector of standard errors	PRIVEC and default
StdLatentEq	L	Standardized latent variable equations	PESTIM or PSHORT
StdLoadings	F	Standardized factor loadings	PESTIM or PSHORT
StdManifestEq	L	Standardized manifest variable equations	PESTIM or PSHORT
StructEq	L, R	Variables in the structural equations	PDETERM and default
SumSqDif	C, F, L, R	Sum of squared differences of pre- determined elements	PREDET or PALL
TotalEffects	L, R	Total effects	TOTEFF or PRINT
tValues	C, F, L, R	Vector of t values	PRIVEC and default
VarSelection	L, R	Manifest variables, if not all are used, selected for modeling	default
VarStdRes	C, F, L, R	Variance standardized residual matrix	RESIDUAL= or PRINT
WaldTest	C, F, L, R	Wald test	MODIFICATION or PALL
Weights	C, F, L, R	Weight matrix	PWEIGHT $\text{[math]}$ or PALL
WeightsDet	C, F, L, R	Determinant of the weight matrix	PWEIGHT $\text{[math]}$ or PALL

1. Most CALIS output tables are specific to the model statement used. Keys: C: COSAN model, F: FACTOR model, L: LINEQS model, R: RAM model.2. The printing options PALL, PRINT, "default," PSHORT, and PSUMM form hierarchical levels of output control, with PALL including all the output enabled by the options at the lower levels, and so on. The "default" option means that NOPRINT is not specified. Therefore, in the table, for example, if PSHORT is the printing option for an output, PALL, PRINT, or "default" will also enable the same output printing.3. The eigenvalues are printed only when there are negative eigenvalues in the approximate Hessian matrix.4. The printing of LagrangeBoundary is effective only if you have set some boundary constraints for parameters.5. The printing of Weights or WeightsDet is effective only if your estimation method uses the weight matrix (for example, WLS or LSWLS).

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