Use this to select options and output to be used by partial least squares regression.
Specifies which items of output are to be displayed in the Output window.
|Data||The unscaled data values (with labels)|
|X loadings||X-component loadings|
|Y loadings||Variable loadings for the bilinear model of the matrix of dependent variables|
|Loadings for matrix P||Variable loadings for the bilinear model of the matrix of independent variables|
|Scores||X and Y component scores|
|Leverages||Measure of leverage|
|X errors||Residual sum of squares and residual standard deviations for all the independent variables. When NGROUPS>1 additional statistics are calculated from the cross-validated residuals, derived when each object is left out|
|Y errors||Residual sum of squares and residual standard deviations for all the dependent variables|
|Scree diagram||Scree diagram of PRESS|
|Fitted values||Fitted values from the PLS regression|
|%Variance explained for X||Percentage variance explained for the X variables|
|%Variance explained for Y||Percentage variance explained for the Y variables|
|Predictions||Predicted values for any observations that were not included in the PLS model but were supplied using the X Predictions|
|Cross-validation groups||Details of groupings used for cross-validation|
|Estimated coefficients||Estimated PLS regression coefficients|
Scale Y variables to unit variance
Controls whether to scale the Y variates to unit variance
Scale X variables to unit variance
Controls whether to scale the X variates to unit variance
Number of dimensions to be extracted
Specified the number of dimensions to be extracted
Number of cross-validation groups
Specifies the number of cross-validation groups into which to divide the data. If you do not want cross-validation then leave this blank or enter 1.
Random seed for cross-validation
Specifies a random seed value to use when dividing the data randomly into the cross-validation groups.