 | Sparse |
The SparsePlsDa type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Calculate(DataFrame, DataFrame, Int32) |
Calculates the partial least squares fit.
(Inherited from PLS2) |
| Calculate(DoubleMatrix, DoubleMatrix, Int32) |
Calculates the partial least squares fit.
(Inherited from PLS2) |
| Calculate(DoubleMatrix, Factor, Int32, Int32) | Performs the sparse Partial Least squares calculation for the given data. |
| Clone |
Creates a deep copy of this PLS2.
(Inherited from PLS2) |
| 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 PLS2) |
| Predict(DoubleMatrix) |
Predict the responses for a set of predictor values.
(Inherited from PLS2) |
| Predict(DoubleVector) |
Calculates the predicted value of the response variable
for the given value of the predictor variable.
(Inherited from PLS2) |
| 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.
(Inherited from PLS2) |
See Also