The VARIOGRAM Procedure

ODS Table Names

Each table created by PROC VARIOGRAM has a name associated with it, and you must use this name to refer to the table when using ODS Graphics. These names are listed in Table 102.6.

Table 102.6: ODS Tables Produced by PROC VARIOGRAM

ODS Table Name	Description	Required Statement	Option
AutoCorrStats	Autocorrelation statistics information	COMPUTE	AUTOCORRELATION
ConvergenceStatus	Status of optimization at conclusion	MODEL	Default output
CorrB	Approximate correlation matrix of model parameter estimates	MODEL	CORRB
CovB	Approximate covariance matrix of model parameter estimates	MODEL	COVB
DistanceIntervals	Pairwise distances matrix	COMPUTE	NOVARIOGRAM
FitGenInfo	General fitting information	MODEL	Default output
FitSummary	Fitting process summary	MODEL	Default output
InputOptions	Optimization input options	MODEL	DETAILS=ALL
IterHist	Iteration history	MODEL	DETAILS=ITR
IterStop	Optimization-related results	MODEL	Default output
Lagrange	Information about Lagrange multipliers	MODEL	DETAILS=ALL
ModelInfo	Model information	MODEL	Default output
NObs	Number of observations read and used	PROC	Default output
OptInfo	Optimization information	MODEL	Default output
PairsInformation	General information about the pairs distribution in classes and data maximum distances in selected directions	COMPUTE	NOVARIOGRAM
ParameterEstimates	Model fitting solution and statistics	MODEL	Default output
ParameterEstimatesResults	Parameter estimates and gradient information	MODEL	DETAILS=ALL
ParameterEstimatesStart	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=