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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: 7.3
Syntax
[SerializableAttribute]
public class PLS1Anova : ICloneable

The PLS1Anova type exposes the following members.

Constructors
  NameDescription
Public methodPLS1Anova
Constructs a Pls1Anova instance for the given PLS1 object.
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Properties
  NameDescription
Public propertyCoefficientOfDetermination
Gets the R squared value. Also called the coefficient of determination.
Public propertyDegreesOfFreedom
Gets the degrees of freedom for the data. This is number of samples - number of components - 1.
Public propertyMeanSqrErrorPrediction
Gets the mean square error for prediction. This is the residual sum of squares divided by the number of samples.
Public propertyResiduals
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.
Public propertyRootMeanSqrErrorPrediction
Gets the root mean square error for prediction. This is the square root of the mean square error for prediction.
Public propertyStandardError
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.
Public propertySumOfSquaresResiduals
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.
Public propertySumOfSquaresTotal
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.
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Methods
  NameDescription
Public methodClone
Creates a deep copy of this PLS1Anova.
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See Also