 | PLS |
The PLS2CrossValidationWithJackknife type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | AverageMeanSqrError | Gets the average of the mean square errors for each training/testing subsets pair. |
| Calculator | Gets and sets the PLS2 calculator to use for PLS2 calculations. |
| Coefficients | Gets the coefficients for the full model. |
| CoefficientVariance | Gets the jackknife variance estimates for the model coefficients. |
| IsGood | Whether all the PLS2 calculations were successful. |
| Message | Gets any message that may have been generated by the computation. For example, if the calculation is unsuccessful, the message indicates the reason. |
| Results | Gets the results of the cross validation for each training/testing subsets pair. |
| Scale | Gets and sets the scale property. If true, the learning X data for each subset is scaled by dividing each variable by its sample standard deviation. The prediction data is scaled by the same amount. Note that this will impact performance. |
| SubsetGenerator | Gets and sets the subset generator to use to generate testing and training subsets. |
| UseMeans | Gets and sets the use means property. If true the mean of the coefficients computed in the jackknife replicates will be used to compute variance estimates. If false the full model coefficients will be used. |
See Also