Internal function, documented due to the importance of its
concept. Creates a pipeline function to do all the
preprocessing needed in classiKnn and classiKernel.
This is helpful to ensure that the data preprocessing (imputation of missing
values, derivation) is carried out in exactly the same way for the
training and the test set in predict.classiKnn and
predict.classiKernel.
fdataTransform(grid, nderiv, derived, evenly.spaced, no.missing, deriv.method,
...)see
classiKnn
additional arguments to fda::smooth.basis
Pipeline function taking one argument fdata. The returned
function carries out all the preprocessing needed for the calling model
of class classiKnn.