Builds multiple linear regression models using forward selection, backward selection, or stepwise selection.

Methods

	Name	Description
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Finalize	Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection. (Inherited from Object.)
	GetCoefficient	Returns the estimate for a coefficient of the independent variable.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetPValue	Returns the p-value for the two-sided test $H_0:{ \beta}=0$ vs. $H_1:{\beta}\ne 0$ .
	GetStandardError	Returns the estimated standard error for a coefficient estimate.
	GetTStatistic	Returns the student-t test statistic for testing the i-th coefficient equal to zero ( ${\beta}_{index}=0$ ).
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a String that represents the current Object. (Inherited from Object.)

See Also