| 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 Namespace: CenterSpace.NMath.CoreAssembly: NMath (in NMath.dll) Version: 7.4
Syntax [SerializableAttribute]
public class PLS1 : ICloneable
<SerializableAttribute>
Public Class PLS1
Implements ICloneable
[SerializableAttribute]
public ref class PLS1 : ICloneable
[<SerializableAttribute>]
type PLS1 =
class
interface ICloneable
end
The PLS1 type exposes the following members.
Constructors 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.
|
TopMethods | 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.
|
TopFields | Name | Description |
---|
| DEFAULT_CALCULATOR |
If no calculation object is specified during construction of
PLS2 objects, this is the default calculator that will be used.
|
TopSee Also