|  | PLS1 Class | 
            Class PLS1 performs a Partial Least Squares (PLS) regression calculation on a
            set of predictive and one-dimensional response values. The result is used to 
            predict response variable values.
            
 Inheritance Hierarchy
Inheritance Hierarchy NMath (in NMath.dll) Version: 7.4
 Syntax
Syntax[SerializableAttribute]
public class PLS1 : ICloneable
<SerializableAttribute>
Public Class PLS1
	Implements ICloneable
[SerializableAttribute]
public ref class PLS1 : ICloneable
[<SerializableAttribute>]
type PLS1 = 
    class
        interface ICloneable
    endThe PLS1 type exposes the following members.
 Constructors
Constructors Properties
Properties|  | Name | Description | 
|---|
|  | Calculator | Gets and sets the calculator. | 
|  | IsGood | Whether the most recent calculation was successful. | 
|  | Message | Gets any message that may have been generated by the algorithm. For 
            example, if the calculation was unsuccessful, the message should 
            indicate the reason. | 
|  | NumComponents | Gets and sets the number of predictor variable components to use
            in the PLS calculation. | 
|  | PredictorMatrix | Gets the predictor matrix. | 
|  | ResponseVector | Gets the response vector. | 
Top Methods
Methods|  | Name | Description | 
|---|
|  | Calculate(DataFrame, DoubleVector, Int32) | Calculates the partial least squares fit. | 
|  | Calculate(DoubleMatrix, DoubleVector, Int32) | Calculates the partial least squares fit. | 
|  | Clone | Creates a deep copy of this PLS1. | 
|  | 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. | 
|  | HotellingsT2(DoubleVector) | Computes the Hotelling's T2 statistic for a new sample. | 
|  | Predict(DoubleMatrix) | Predict the responses for a set of predictor values. | 
|  | Predict(DoubleVector) | Calculates the predicted value of the response variable
            for 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. | 
Top Fields
Fields|  | Name | Description | 
|---|
|   | DEFAULT_CALCULATOR | If no calculation object is specified during construction of 
            PLS2 objects, this is the default calculator that will be used. | 
Top See Also
See Also