PLS2NipalsAlgorithmCoefficients Property

Gets the regression coefficients matrix, B, for the PLS2 calculation. B satisifies the relationship

ResponseVector = XB + E.

where X and ResponseVector are respectively, the centered independent and dependent variables values, and EE is a noise term for the model.

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

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public override DoubleMatrix Coefficients { get; }

Public Overrides ReadOnly Property Coefficients As DoubleMatrix
	Get

public:
virtual property DoubleMatrix^ Coefficients {
	DoubleMatrix^ get () override;
}

abstract Coefficients : DoubleMatrix with get
override Coefficients : DoubleMatrix with get

Property Value

DoubleMatrix

Remarks

The coeffient matrix, B, can be used for prediction as follows:

Let yhat(z) be the predicted value for the independet variable value z, xbar the mean of the PredictorMatrix variables and ybar the mean of ResponseVector variables. Then

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yhat(z) = ybar + (z - xbar)B.

Reference

PLS2NipalsAlgorithm Class

CenterSpace.NMath.Core Namespace