SmNonLinearLeastSquare

Description

The SmNonLinearLeastSquare class implements algorithm of the non-linear least squares method.

Properties inherited from ISmNonLinearLeastSquare

	Property name	Brief description
	CoefficientsOrder	The CoefficientsOrder property determines the coefficients order.
	DampingFactorTolerance	Outdated. The DampingFactorTolerance property determines the accuracy of solution for the secondary linear problem in the Levenberg-Marquardt method.
	Explained	The Explained property determines an explained series.
	Explanatories	The Explanatories property determines explanatory series.
	Fitted	The Fitted property returns a modeling series.
	Forecast	The Forecast property determines parameters of forecasting series.
	FunctionString	The FunctionString property determines calculated function.
	InitApproximation	The InitApproximation property determines initial approximations.
	InitApproximationActual	The InitApproximationActual property returns actually used initial approximations.
	MaxIteration	The MaxIteration property determines the maximum number of iterations.
	MaxStep	Outdated. The MaxStep property determines the value of maximum distance between approximations.
	MissingData	The MissingData property determines missing data treatment method.
	ModelCoefficients	The ModelCoefficients property returns parameters of model coefficients.
	ModelPeriod	The ModelPeriod property determines sample period parameters.
	OptimalSumOfSquare	The OptimalSumOfSquare property returns the optimal value for the sum of squared residuals.
	OptimizationMethod	The OptimizationMethod property determines the optimization method in use.
	Residuals	The Residuals property returns a residual series.
	SummaryStatistics	The SummaryStatistics property returns summary statistics.
	Tolerance	The Tolerance property determines accuracy.
	UseDefaultInitValues	The UseDefaultInitValues property determines whether the default initial approximations are used.
	UseDerivatives	The UseDerivatives property determines whether analytical derivatives are used in solution search.

Properties inherited from IStatMethod

	Property name	Brief description
	DisplayName	The DisplayName property returns the displayed method name.
	ErrorByStatus	The ErrorByStatus property returns an error message by the error number.
	Errors	The Errors property returns a message with all the errors and warnings.
	Name	The Name property returns the internal method name.
	PerformanceTime	The PerformanceTime property returns method execution time.
	Status	The Status property returns the method execution status.
	SupportsR	The SupportsR property returns whether statistical method can be calculated via R package.
	UseR	The UseR property determines whether statistical method is calculated via the R package.
	WarningByStatus	The WarningByStatus property returns a warning text by its number.
	Warnings	The Warnings property returns the warnings that occurred at method calculation.
	WarningsCount	The WarningsCount property returns the number of warnings that occurred at the method calculation.
	WarningsNumbers	The WarningsNumbers property returns numbers of warnings that occurred at the method calculation.

Methods inherited from IStatMethod

	Method Name	Brief description
	Clone	The Clone method clones a statistical method object.
	Execute	The Execute method executes a statistical method.
	LoadFromXML	The LoadFromXML method loads statistical method settings from XML code.
	SaveToXML	The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes | Non-Linear Regression