ISmLinearRegress

Assembly: Stat;

Namespace: Prognoz.Platform.Interop.Stat;

Description

The ISmLinearRegress interface defines parameters of the Linear Regression method.

Inheritance Hierarchy

          IStatMethod

          ISmLinearRegress

Properties

	Property name	Brief description
	ARMA	The ARMA property returns autoregression and moving average parameters.
	AutoRegressionOrder	Outdated. The AutoRegressionOrder property determines a value array for autoregression orders.
	AutoSelection	The AutoSelection property determines regressor autoselection parameters.
	CovarianceMatrix	The CovarianceMatrix property returns covariance matrix values.
	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 returns parameters of forecasting series.
	GDLTerms	The GDLTerms property determines parameters for estimation of Koyck distributed lags.
	GLSMatrix	The GLSMatrix property determines a covariance matrix for generalized least squares method.
	LSType	The LSType property determines the type of least squares method.
	MissingData	The MissingData property determines missing data treatment parameters.
	ModelCoefficients	The ModelCoefficients property returns parameters of model coefficients.
	ModelPeriod	The ModelPeriod property determines sample period parameters.
	MovingAverage	Outdated. Use ISmLinearRegress.ARMA.
	PDLTermCollection	The PDLTermCollection property returns a collection of lag variables.
	Residuals	The Residuals property returns a residual series.
	SummaryStatistics	The SummaryStatistics property returns summary statistics.
	UseGDLTerms	The UseGDLTerms property determines whether Koyck distributed lags should be used to estimate linear regression.
	UseWeights	The UseWeights property determines whether to use the specified weights.
	WeightedSummaryStatistics	The WeightedSummaryStatistics property returns weighted descriptive statistics of a model.
	Weights	Outdated. Use ISmLinearRegress.GLSMatrix.
	WeightsScaling	The WeightsScaling property determines method of weight scaling.
	WeightsType	The WeightsType property determines the weights type.

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 Interfaces | Linear regression | Distributed Lag Model | ARIMA