IPLS1Calc Class

Interface for performing a Partial Least Squares (PLS) calculation.

Inheritance Hierarchy

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

Syntax

[SerializableAttribute]
public abstract class IPLS1Calc : ICloneable

<SerializableAttribute>
Public MustInherit Class IPLS1Calc
	Implements ICloneable

[SerializableAttribute]
public ref class IPLS1Calc abstract : ICloneable

[<AbstractClassAttribute>]
[<SerializableAttribute>]
type IPLS1Calc = 
    class
        interface ICloneable
    end

The IPLS1Calc type exposes the following members.

Constructors

	Name	Description
	IPLS1Calc	Initializes a new instance of the IPLS1Calc class

Properties

	Name	Description
	IsGood	Indicates whether the most recent calculation was successful or not.
	Loadings	Gets a matrix whow columns are the loading vectors.
	Message	Gets any message that may have been generated by the algorithm. For example, if the calculation is unsuccessful, the message should indicate the reason.
	Scores	Gets a matrix whow columns are the score vectors.

Methods

	Name	Description
	Calculate	Performs a PLS1 calculation on the given data.
	Clone	A deep copy of self.
	HotellingsT2	Calculaties Hotelling's T2 statistic for each sample. T2 can be viewed as the squared distance from a samples projection into the subspace to the centroid of the subspace, or, more simply, the variation of the sample point within the model.
	Predict(DoubleMatrix)	Use the calculated model to predict the response values, ResponseVector , from the given set of predictor variables.
	Predict(DoubleVector)	Use the calculated model to predict the response value, y, from the given value of the predictor variable.
	QResiduals	Calculates the Q residuals for in sample in the model. The Q residual for a given sample is the distance between the sample and its projection in the subspace of the model.

Remarks

This is a PLS1 algorithm.