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MultipleLinearRegression Methods

The MultipleLinearRegression type exposes the following members.

Methods
  NameDescription
Public methodClone
Creates a new object that is a copy of the current instance.
Public methodCoefficientOfDetermination
Gets the coefficient of determination, as known as R² (r-squared).
Public methodCompute(Double) Obsolete.
Computes the Multiple Linear Regression for an input vector.
Public methodCompute(Double) Obsolete.
Computes the Multiple Linear Regression for input vectors.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodStatic memberFromCoefficients Obsolete.
Creates a new linear regression from the regression coefficients.
Public methodStatic memberFromData
Creates a new linear regression directly from data points.
Public methodGetConfidenceInterval
Gets the confidence interval for an input point.
Public methodGetDegreesOfFreedom
Gets the degrees of freedom when fitting the regression.
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetPredictionInterval
Gets the prediction interval for an input point.
Public methodGetPredictionStandardError
Gets the standard error of the prediction for a particular input vector.
Public methodGetStandardError(Double, Double)
Gets the overall regression standard error.
Public methodGetStandardError(Double, Double, Double)
Gets the standard error of the fit for a particular input vector.
Public methodGetStandardErrors
Gets the standard error for each coefficient.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodRegress(Double, Double) Obsolete.
Performs the regression using the input vectors and output data, returning the sum of squared errors of the fit.
Public methodRegress(Double, Double, Boolean) Obsolete.
Performs the regression using the input vectors and output data, returning the sum of squared errors of the fit.
Public methodRegress(Double, Double, Double, Boolean) Obsolete.
Performs the regression using the input vectors and output data, returning the sum of squared errors of the fit.
Public methodToString
Returns a System.String representing the regression.
(Overrides ObjectToString.)
Public methodToString(String, IFormatProvider)
Returns a String that represents this instance.
Public methodTransform(TInput)
Applies the transformation to a set of input vectors, producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.)
Public methodTransform(Double)
Applies the transformation to an input, producing an associated output.
(Overrides TransformBaseTInput, TOutputTransform(TInput).)
Public methodTransform(TInput, TOutput)
Applies the transformation to an input, producing an associated output.
(Inherited from TransformBaseTInput, TOutput.)
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by Matrix.)
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See Also