﻿ MultipleLinearRegression Methods

MultipleLinearRegression Methods

The MultipleLinearRegression type exposes the following members.

Methods
NameDescription
Clone
Creates a new object that is a copy of the current instance.
CoefficientOfDetermination
Gets the coefficient of determination, as known as R² (r-squared).
Compute(Double) Obsolete.
Computes the Multiple Linear Regression for an input vector.
Compute(Double) Obsolete.
Computes the Multiple Linear Regression for input vectors.
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.)
FromCoefficients Obsolete.
Creates a new linear regression from the regression coefficients.
FromData
Creates a new linear regression directly from data points.
GetConfidenceInterval
Gets the confidence interval for an input point.
GetDegreesOfFreedom
Gets the degrees of freedom when fitting the regression.
GetHashCode
Serves as the default hash function.
(Inherited from Object.)
GetPredictionInterval
Gets the prediction interval for an input point.
GetPredictionStandardError
Gets the standard error of the prediction for a particular input vector.
GetStandardError(Double, Double)
Gets the overall regression standard error.
GetStandardError(Double, Double, Double)
Gets the standard error of the fit for a particular input vector.
GetStandardErrors
Gets the standard error for each coefficient.
GetType
Gets the Type of the current instance.
(Inherited from Object.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Regress(Double, Double) Obsolete.
Performs the regression using the input vectors and output data, returning the sum of squared errors of the fit.
Regress(Double, Double, Boolean) Obsolete.
Performs the regression using the input vectors and output data, returning the sum of squared errors of the fit.
Regress(Double, Double, Double, Boolean) Obsolete.
Performs the regression using the input vectors and output data, returning the sum of squared errors of the fit.
ToString
Returns a System.String representing the regression.
(Overrides ObjectToString.)
ToString(String, IFormatProvider)
Returns a String that represents this instance.
Transform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.)
Transform(Double)
Applies the transformation to an input, producing an associated output.
(Overrides TransformBaseTInput, TOutputTransform(TInput).)
Transform(TInput, TOutput)
Applies the transformation to an input, producing an associated output.
(Inherited from TransformBaseTInput, TOutput.)
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Extension Methods
NameDescription
HasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
IsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)