Specifies options for stepwise regression calculations.
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
public class StepwiseOptions
Public Class StepwiseOptions
public ref class StepwiseOptions
type StepwiseOptions = class end
The StepwiseOptions type exposes the following members.
Initializes a new instance of the StepwiseOptions class
Gets or sets whether the thresholds are specified as statistic values or as p-values.
Gets the collection of variables that are always included in the regression model.
Gets or sets the method used to add and remove variables from the model.
Gets or sets the minimum significance level needed to allow a variable to enter the model.
Gets or sets the critical value for the statistic needed to allow a variable to enter the model.
Gets or sets the maximum significance level needed to consider a variable for removal from the model.
Gets or sets the critical value for the statistic to cause a variable to be removed from the model.
Forces a variable to always be included in the model.
Forces a set of variables to always be included in the model.
Clears the list of variables that should always be included in the model.
Determines whether the specified object is equal to the current object. (Inherited from Object.)
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
Serves as the default hash function. (Inherited from Object.)
|GetType| (Inherited from Object.)
Gets the Type
of the current instance.
|MemberwiseClone| (Inherited from Object.)
Creates a shallow copy of the current Object
Sets the list of variables that should always be included in the model.
Returns a string that represents the current object. (Inherited from Object.)
Use the StepwiseOptions class to specify in detail how a
stepwise regression should be performed. An object of this type can be
assigned to the StepwiseOptions property.