QuickNonlinearRegressionOld Class

Note: This API is now obsolete.

Legacy implementation of a quick nonlinear regression for one dependent variable in dependence on one independent variable.

Inheritance Hierarchy

SystemObject
Altaxo.Calc.Regression.NonlinearQuickNonlinearRegressionOld

Namespace: Altaxo.Calc.Regression.Nonlinear
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3448.0 (4.8.3448.0)

Syntax

[ObsoleteAttribute("Please use QuickNonlinearRegression instead.")]
public class QuickNonlinearRegressionOld

The QuickNonlinearRegressionOld type exposes the following members.

Constructors

	Name	Description
	QuickNonlinearRegressionOld	Initializes a new instance of the QuickNonlinearRegressionOld class.

Properties

	Name	Description
	Covariances	Gets the resulting covariances of the fit.
	Parameters	Gets the fitted parameters.
	ParameterVariances	Gets the variances of the fitted parameters.
	SigmaSquare	Gets the estimated sigma squared of the last fit.
	SumChiSquare	Gets the sum of squared residuals (Chi²) of the last fit.

Methods

	Name	Description
	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)
	Fit(Double, Double, Double, CancellationToken)	Performs nonlinear least-squares fitting.
	Fit(Double, Double, Double, Boolean, CancellationToken)	Performs nonlinear least-squares fitting.
	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)

Fields

	Name	Description
	_covariances	The covariances of the free parameters as computed by the last fit.
	_fitFunction	The fit function used for regression.
	_isExecuted	Indicates whether the fit has been executed and results are available.
	_parameters	The fitted parameters (full parameter vector, including fixed parameters).
	_parameterVariances	The variances of the fitted parameters (full parameter vector, including fixed parameters).
	_sigmaSquare	The estimated sigma squared computed by the last fit.
	_sumChiSquare	The sum of squared residuals (Chi²) computed by the last fit.

Remarks

This type is kept for compatibility. Use QuickNonlinearRegression instead.