 | Sparse |
The SparsePls type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Calculate |
Calculates the sparse PLS fit for the given data and number of components.
X and Y values are first centered and scaled by their standard deviations.
(Overrides IPLS2CalcCalculate(DoubleMatrix, DoubleMatrix, Int32)) |
| Clone |
Creates a deep copy of self.
(Overrides IPLS2CalcClone) |
| 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 IPLS2Calc) |
| Predict(DoubleMatrix) |
Uses the calculated model to predict the observed values from
a matrix of predictor values.
(Overrides IPLS2CalcPredict(DoubleMatrix)) |
| Predict(DoubleVector) |
Used the calculated model to predict the observed value from the given
predictor vector.
(Overrides IPLS2CalcPredict(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.
(Inherited from IPLS2Calc) |
See Also