GLMSpecifications Members
These members are related to General Linear Models (GLM) model specifications dialog.
| Name | Description |
|---|---|
| AdjustedRSquaredForBestSubsets | Adjusted R-Squared for best subsets. Assignment value: Integer. |
| AnalysisSyntax | Analysis syntax. Return/assignment value: String. |
| Application | Returns application object. Return value: Object. This property is read only. |
| BackwardRemovalRegression | Backward removal regression. Assignment value: Integer. |
| BackwardStepwiseRegression | Backward stepwise regression. Assignment value: Integer. |
| BestsubsetsRegression | Best subsets regression. Assignment value: Integer. |
| CrossValidation | Cross Validation. Assignment value: String. |
| FValueToEnterInStepwse | F-value to enter in stepwise. Assignment value: Double. |
| FValueToRemoveInStepwse | F-value to remove in stepwise. Assignment value: Double. |
| FactorCodes | Factor Codes. Assignment value: Variant. |
| FactorialDegree | Factorial Degree. Assignment value: Integer |
| ForwardEntryRegression | Forward entry regression. Assignment value: Integer. |
| ForwardStepwiseRegression | Forward stepwise regression. Assignment value: Integer. |
| InverseDelta | Inverse Delta. Assignment value: Integer. |
| LackOfFit | Lack of Fit. Assignment value: Integer. |
| MallowCpForBestSubsets | Mallow Cp for best subsets. Assignment value: Integer. |
| MaximumNumberOfStepsInStepwise | Maximum number of steps in stepwise. Assignment value: Integer. |
| Name | Return value: String. This property is read only. |
| NoIntercept | No Intercept. Assignment value: Integer. |
| NumberOfEffectsToForce | Number of effects to force. Assignment value: Integer. |
| NumberOfSubsetsToDisplay | Number of subsets to display. Assignment value: Integer. |
| Parent | Returns the parent of the object. Return value: Object. This property is read only. |
| ProbabilityToEnterInStepwse | Probability to enter in stepwise. Assignment value: Double. |
| ProbabilityToRemoveInStepwse | Probability to remove in stepwise. Assignment value: Double. |
| RSquaredForBestSubsets | R-Squared for best subsets. Assignment value: Integer. |
| RandomFactors | Random Factors. Assignment value: String. |
| RegressionAllEffectsIncluded | Regression (all effects included). Assignment value: Integer. |
| ResultsCodes | Assignment value: Variant. |
| ResultsOption | Assignment value: Integer. |
| ResultsOutputFields | Assignment value: Variant. |
| ResultsSaveFileName | Assignment value: String. |
| ResultsSelection | Assignment value: Variant. |
| ResultsSelectionOption | Assignment value: Variant. |
| ResultsValues | Assignment value: Variant. |
| ResultsVariables | Assignment value: Variant. |
| SigmaRestricted | Sigma Restricted. Assignment value: Integer. |
| StartInBestSubsets | Start in best subsets. Assignment value: Integer. |
| StopInBestSubsets | Stop in best subsets. Assignment value: Integer. |
| SweepDelta | Sweep Delta. Assignment value: Integer. |
| TypeIIISumOfSquares | Type III Sum of Squares. Assignment value: Integer. |
| TypeIISumOfSquares | Type II Sum of Squares. Assignment value: Integer. |
| TypeISumOfSquares | Type I Sum of Squares. Assignment value: Integer. |
| TypeIVSumOfSquares | Type IV Sum of Squares. Assignment value: Integer. |
| TypeVISumOfSquares | Type VI Sum of Squares. Assignment value: Integer. |
| TypeVSumOfSquares | Type V Sum of Squares. Assignment value: Integer. |
| UseFValueForStepwiseRegression | Use F-value for stepwise regression. Assignment value: Integer. |
| UseProbabiilityForStepwiseRegression | Use probability for stepwise regression. Assignment value: Integer. |
| Variables | GLM Variables. Assignment value: Variant. |
| WithinEffects | Within Effects. Assignment value: String. |
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