OUTPUT FROM THE PLS MODEL AND ITS FITTING

Output from the PLS procedure can be selected using the following settings of
the PRINT option.
  data          the unscaled data values (with labels).
  xloadings     X-component loadings (columns of the matrix W - see above).
  yloadings     variable loadings for the bilinear model of the matrix of
                dependent variables. Note that these are standardized to unit
                length and are not the same as the columns of the matrix Q
                above. To obtain Q form the matrix C, whose columns are the
                standardized loadings and post-multiply by the diagonal
                matrix supplied as the output parameter B.
  ploadings     variable loadings for the bilinear model of the matrix of
                independent variables (columns of the matrix P - see above).
  scores        X and Y component scores. The X component scores are the
                columns of the matrix T and are mutually orthogonal. The Y
                component scores, usually given the symbol u, are not in
                fact needed in the calculation of the PLS model unless an 
                iterative algorithm is used (see method section). They are 
                provided here for completeness, as sometimes it is useful to 
                plot the Y component scores against the X component scores 
                to give a visual indication of the degree of fit for each 
                PLS dimension.
  leverage      measure of leverage.
  xerrors       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. The PRESS value
                is equal to the sum of squares of cross-validated standard
                deviations for each X variable multipled by N-1, where N is
                the total number of observations. The cross-validated
                standard deviations may therefore be used to measure the 
                predictive ability of the model for each of the variables.
  yerrors       residual sum of squares and residual standard deviations for
                all the dependent variables (see xerrors above).
  scree         scree diagram of PRESS.
  xpercent      percentage variance explained for the X variables.
  ypercent      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 XPREDICT
                parameter.
  groups        details of groupings used for cross-validation.
  estimates     estimated PLS regression coefficients.
  fittedvalues  fitted values from the PLS regressions.
The default settings are estimates, xpercent, ypercent, scores, xloadings,
yloadings, ploadings. 

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