LinearSModel Class

Represents the result of a linear regression from series.

Definition

Namespace: Austra.Library
Assembly: Austra.Library (in Austra.Library.dll) Version: 2.5.0+d1268756e036101f601080f153b3997e72fc912d
C#
public sealed class LinearSModel : LinearModel<Series>
Inheritance
Object    LinearModelSeries    LinearSModel

Constructors

LinearSModelInitializes and computes a linear regression model.

Properties

OriginalThe samples to be explained.
(Inherited from LinearModelT)
PredictionPredicted samples.
(Inherited from LinearModelT)
R2Explained variance versus total variance.
(Inherited from LinearModelT)
ResidualSumSquaresGets the residual sum of squares.
(Inherited from LinearModelT)
StandardErrorGets the standard error.
(Inherited from LinearModelT)
TotalSumSquaresGets the total sum of squares.
(Inherited from LinearModelT)
TStatsStudent-t statistics for the weights.
(Inherited from LinearModelT)
VariablesThe names of the samples used as predictors.
(Inherited from LinearModelT)
WeightsCalculated weights for the predictors.
(Inherited from LinearModelT)

Methods

EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetTypeGets the Type of the current instance.
(Inherited from Object)
ToStringGets a textual representation of the model.
(Inherited from LinearModelT)
ToString(String, IFormatProvider)Gets the string representation of the autoregressive model.
(Inherited from LinearModelT)

See Also