StepwiseRegression | Overloaded. Initializes a new instance of the StepwiseRegression class. |
ANOVA | An analysis of variance table and related statistics. |
CoefficientTTests | The student-t test statistics for the regression coefficients. |
CoefficientVIF | The variance inflation factors for the final model in this invocation. |
CovariancesSwept | Results after cov has been swept for the columns corresponding to the variables in the model. |
Force | Forces independent variables into the model based on their level assigned from Levels . |
History | The stepwise regression history for the independent variables. |
Levels | The levels of priority for variables entering and leaving the regression. |
Method | Specifies the stepwise selection method, forward, backward, or stepwise Regression. |
PValueIn | Defines the largest p-value for variables entering the model. |
PValueOut | Defines the smallest p-value for removing variables. |
Swept | An array containing information indicating whether or not a particular variable is in the model. |
Tolerance | The tolerance used to detect linear dependence among the independent variables. |
Compute | Builds the multiple linear regression models using forward selection, backward selection, or stepwise selection. |
Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
GetType (inherited from Object) | Gets the Type of the current instance. |
ToString (inherited from Object) | Returns a String that represents the current Object. |
Finalize (inherited from Object) | Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. |
MemberwiseClone (inherited from Object) | Creates a shallow copy of the current Object. |
StepwiseRegression Class | Imsl.Stat Namespace | Example 1