Use this to save results from a partial least squares regression in Genstat data structures.
- After selecting the appropriate boxes, you need to type the names for the identifiers of the data structures into the corresponding In: fields.
Save
| Y component loadings | Pointer | To variates used to store the Y component loadings for each dimension extracted |
| X component loadings | Pointer | To variates used to store the X component loadings for each dimension extracted |
| Loadings for bilinear model for X block | Pointer | To variates used to store the loadings for the bilinear model for X block |
| Y component scores | Pointer | To variates used to store the Y component scores for each dimension extracted |
| X component scores | Pointer | To variates used to store the X component scores for each dimension extracted |
| Regression coefficients of Y & X scores | Diagonal matrix | Containing the regression coefficients of YSCORES on XSCORES for each dimension |
| Y predictions | Pointer | To variates used to store predicted Y values for samples in the prediction set |
| Estimates | Matrix | (nX+1 by nY, where nX and nY are the numbers of variates contained in X and Y respectively) used to store the PLS regression coefficients for a PLS model |
| Fitted values | Pointer | To variates used to store the fitted values for each Y variate. |
| PRESS | Variate | Used to contain the Predictive Residual Error Sum of Squares for each dimension in the PLS model, available only if cross-validation has been selected |
| X predictions residuals | Pointer | To variates used to store the residuals from the X block, uncorrected for any scaling that may have been applied using scaling options. This option is only available if X predictions have been supplied |
Display in spreadsheet
Select this to display the results in a new spreadsheet window.