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.
|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.