 | PLS |
The PLS1NipalsAlgorithm type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Calculate |
Calculates a partial least squares from the given data and number of
components.
(Overrides IPLS1CalcCalculate(DoubleMatrix, DoubleVector, Int32)) |
| Clone |
Creates a deep copy of this PLS1NipalsAlgorithm.
(Overrides IPLS1CalcClone) |
| 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.
(Inherited from IPLS1Calc) |
| OnDeserialized | Sets most of the attributes only if isGood_ |
| OnSerializing | Conditionally sets most of the values for serialization only if isGood_ |
| Predict(DoubleMatrix) |
Use the calculated model to predict the response values, ResponseVector,
from the given set of predictor variables.
(Overrides IPLS1CalcPredict(DoubleMatrix)) |
| Predict(DoubleVector) |
Use the calculated model to predict the response value, y, from
the given value for the predictor variable.
(Overrides IPLS1CalcPredict(DoubleVector)) |
| 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.
(Overrides IPLS1CalcQResiduals) |
See Also