GeneralLinearRegressionResult Class

Describes the result of any generalized linear regression.

Definition

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.2.0+6d77d64445f7d5d91b12e331399c4362ecb25333

C#

public abstract class GeneralLinearRegressionResult : ResidualsResult

VB

Public MustInherit Class GeneralLinearRegressionResult
	Inherits ResidualsResult

C++

public ref class GeneralLinearRegressionResult abstract : public ResidualsResult

F#

[<AbstractClassAttribute>]
type GeneralLinearRegressionResult = 
    class
        inherit ResidualsResult
    end

Derived: Meta.Numerics.StatisticsLinearRegressionResult
Meta.Numerics.StatisticsMultiLinearRegressionResult
Meta.Numerics.StatisticsPolynomialRegressionResult

Anova	Gets an ANOVA analysis of the regression.
F	Gets an F-test for the regression.
Intercept	Gets an estimate of the intercept.
Parameters	Gets the parameters of the regression. (Inherited from FitResult)
Residuals	Gets a list of the residuals of the fit. (Inherited from ResidualsResult)
RSquared	Gets r² for the regression.
SumOfSquaredResiduals	Gets the sum of the squares of all residuals. (Overrides ResidualsResultSumOfSquaredResiduals)

Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object)
GetHashCode	Serves as the default hash function. (Inherited from Object)
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)