 | Sparse |
The SparsePls type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | CenteredScaledX | Matrix of scaled, centered X values. |
| CenteredScaledY | Matrix of scaled centered Y values. |
| CMatrix | Matrix of coefficients used internally for prediction. |
| Coefficients |
Coefficient matrix that may be used for prediction.
(Overrides IPLS2CalcCoefficients) |
| IsGood |
Indicates whether the most recent calculation was successful. For
SparsePls a return value of false most likely indicates that the
iterative algorithm did not converge before reaching the maximum
number of iterations. Check the Message property for
further information in this case.
(Overrides IPLS2CalcIsGood) |
| Iterations | Number of iterations of the algorthm for each component |
| KeepX | Get and sets the number of X variables kept in the model for each component. |
| KeepY | Get and sets the number of Y variables kept in the model for each component. |
| MaxIterations | Gets the max iterations performed by the iterative algorithm. |
| Message |
Gets any message that may have been generated by the algorithm. For example,
if the calculation is unsuccessful, the message should indicate the
reason.
(Overrides IPLS2CalcMessage) |
| Mode | Gets and sets the PLS mode. |
| NumComponents | Gets the number components. |
| PredictorLoadings |
Gets the predictor variable loadings. This is an alias for
XLoadings.
(Overrides IPLS2CalcPredictorLoadings) |
| PredictorScores |
Gets the predictor variable scores. This is an alias for
XVariates.
(Overrides IPLS2CalcPredictorScores) |
| Tolerance | Gets the tolerance used for convergence determination of the iterative algorithm. |
| XLoadings | Gets the matrix of X loadings. |
| XVariates | Gets the matrix of X variates or scores. |
| YLoadings | Gets the matrix of Y loadings. |
| YVariates | Gets the matrix of Y variates or scores. |
See Also