[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
Thetype exposes the following members.
Indicates whether the most recent calculation was successful or not.
Gets a matrix whow columns are the loading vectors.
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 score vectors.
Performs a PLS1 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 values, ResponseVector , from the given set of predictor variables.
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.