[SerializableAttribute] public abstract class IPLS2Calc : ICloneable
<SerializableAttribute> Public MustInherit Class IPLS2Calc Implements ICloneable
[SerializableAttribute] public ref class IPLS2Calc abstract : ICloneable
[<AbstractClassAttribute>] [<SerializableAttribute>] type IPLS2Calc = class interface ICloneable end
Thetype exposes the following members.
Gets the matrix of coefficients used for making predictions.
Indicates whether the most recent calculation was successful.
Gets any message that may have been generated by the algorithm. For example, if the calculation is unsuccessful, the message should indicate the reason.
Gets a matrix whow columns are the predictor loading vectors.
Gets a matrix whow columns are the predictor score vectors.
Perform a PLS2 calculation on the given data.
A deep copy of self.
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.
Use the calculated model to predict the response value for each of of the given predictor values.
Use the calculated model to predict the response value, y, from the given value of the predictor variable.
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.