benchmark.pls | Comparison of model selection criteria for Partial Least... |
benchmark.regression | Comparison of Partial Least Squares Regression, Principal... |
coef.plsdof | Regression coefficients |
compute.lower.bound | Lower bound for the Degrees of Freedom |
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. |
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 |
pcr | Principal Components Regression |
pcr.cv | Model selection for Princinpal Components regression based on... |
pls.cv | Model selection for Partial Least Squares based on... |
pls.dof | Computation of the Degrees of Freedom |
plsdof-package | Degrees of Freedom and Statistical Inference for Partial... |
pls.ic | Model selection for Partial Least Squares based on... |
pls.model | Partial Least Squares |
ridge.cv | Ridge Regression. |
tr | Trace of a matrix |
vcov.plsdof | Variance-covariance matrix |
vvtz | Projectin operator |
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