 | PLS |
The PLS2 type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Calculate(DataFrame, DataFrame, Int32) | Calculates the partial least squares fit. |
| Calculate(DoubleMatrix, DoubleMatrix, Int32) | Calculates the partial least squares fit. |
| Clone | Creates a deep copy of this 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. |
| 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. |
See Also