| PLS2SimplsAlgorithmCoefficients Property |
Gets the regression coefficients matrix,
B, for the PLS2 calculation.
B satisifies the relationship
where
X and ResponseVector are, respectively, the centered independent
and dependent variables values, and
E is a noise term for the model.
Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax 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
DoubleMatrixRemarks
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
yhat(z) = ybar + (z - xbar)B
See Also