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 6.
Table 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= |