aic                     Akaike Information Criterion
benchmark.pls           Comparison of model selection criteria for
                        Partial Least Squares Regression.
bic                     Bayesian information criterion
coef.plsdof             Regression coefficients
dA                      Derivative of normalization function
dnormalize              Derivative of normalization function
dvvtz                   First derivative of the projection operator
first.local.minimum     Index of the first local minimum.
gmdl                    Generalized minimum description length
information.criteria    Information criteria
kernel.pls.fit          Kernel Partial Least Squares Fit
krylov                  Krylov sequence
linear.pls.fit          Linear Partial Least Squares Fit
normalize               Normalization of vectors
pls.cv                  Model selection for Partial Least Squares based
                        on cross-validation
pls.dof                 Computation of the Degrees of Freedom
pls.ic                  Model selection for Partial Least Squares based
                        on information criteria
pls.model               Partial Least Squares
plsdof-package          Degrees of Freedom and Confidence Intervals for
                        Partial Least Squares Regression
tr                      Trace of a matrix
vcov.plsdof             Variance-covariance matrix
vvtz                    Projectin operator
