LinearSModel Class

Represents the result of a linear regression from series.

Inheritance Hierarchy

SystemObject
Austra.LibraryLinearModelSeries
Austra.LibraryLinearSModel

Namespace: Austra.Library
Assembly: Austra.Library (in Austra.Library.dll) Version: 2.5.0+44e7797405725ef3cf24b3ff0eba94ce6c649601

Syntax

public sealed class LinearSModel : LinearModel<Series>

The LinearSModel type exposes the following members.

Constructors

	Name	Description
	LinearSModel	Initializes and computes a linear regression model.

Properties

	Name	Description
	Original	The samples to be explained. (Inherited from LinearModelT)
	Prediction	Predicted samples. (Inherited from LinearModelT)
	R2	Explained variance versus total variance. (Inherited from LinearModelT)
	ResidualSumSquares	Gets the residual sum of squares. (Inherited from LinearModelT)
	StandardError	Gets the standard error. (Inherited from LinearModelT)
	TotalSumSquares	Gets the total sum of squares. (Inherited from LinearModelT)
	TStats	Student-t statistics for the weights. (Inherited from LinearModelT)
	Variables	The names of the samples used as predictors. (Inherited from LinearModelT)
	Weights	Calculated weights for the predictors. (Inherited from LinearModelT)

Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
	GetHashCode	Serves as the default hash function. (Inherited from Object)
	GetType	Gets the Type of the current instance. (Inherited from Object)
	ToString	Gets a textual representation of the model. (Inherited from LinearModelT)
	ToString(String, IFormatProvider)	Gets the string representation of the autoregressive model. (Inherited from LinearModelT)