PLS1Anova Class

Class PLS1Anova performs a standard ANalysis Of VAriance (ANOVA) for a Partial Least Squares 1 (PLS1) regression model.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CorePLS1Anova

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

Syntax

[SerializableAttribute]
public class PLS1Anova : ICloneable

<SerializableAttribute>
Public Class PLS1Anova
	Implements ICloneable

[SerializableAttribute]
public ref class PLS1Anova : ICloneable

[<SerializableAttribute>]
type PLS1Anova = 
    class
        interface ICloneable
    end

The PLS1Anova type exposes the following members.

Constructors

	Name	Description
	PLS1Anova	Constructs a Pls1Anova instance for the given PLS1 object.

Properties

	Name	Description
	CoefficientOfDetermination	Gets the R squared value. Also called the coefficient of determination.
	DegreesOfFreedom	Gets the degrees of freedom for the data. This is number of samples - number of components - 1.
	MeanSqrErrorPrediction	Gets the mean square error for prediction. This is the residual sum of squares divided by the number of samples.
	Residuals	Gets the vector of residuals. This is the vector of differences between the given response values and the response values predicted by the regression model.
	RootMeanSqrErrorPrediction	Gets the root mean square error for prediction. This is the square root of the mean square error for prediction.
	StandardError	Gets the standard error for the model. This is the square root of the residual sum of squares divided by the degrees of freedom for the model.
	SumOfSquaresResiduals	Gets the sum of squares for the residuals. This is the sum of the squared differences between the response values and the responses predicted by the regression model.
	SumOfSquaresTotal	Returns the total sum of squares for the model. This is the sum of the squared deviations from the mean of the elements of the the response vector.

Methods

	Name	Description
	Clone	Creates a deep copy of this PLS1Anova.