X2kernel                Computation of the kernel matrix
aic                     Akaike information criterion
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
gmdl                    Generalized minimum description length
information.criteria    Information criteria
kernel.pls              Kernel Partial Least Squares
kernel.pls.cv           Cross-validation for Kernel Partial Least
                        Squares
kernel.pls.fit          Kernel Partial Least Squares fit
kernel.pls.ic           Model selection for Kernel Partial Least
                        Squares based on information criteria
linear.pls              Linear Partial Least Squares
myrange.X               Scaling of predictor variables
normalize               Normalization of vectors
plsdof-package          Degrees of Freedom and Confidence Intervals for
                        Partial Least Squares Regression
vcov.plsdof             Variance-covariance matrix
vvtz                    Projectin operator
where.max               Compute argmax of a vector
