Description Usage Arguments Value Author(s)
Wrapper for cppls function with multiple pass and outliers elmination
1 | multipass.cppls(formula, ncomp, validation, data, nbpass, out = 2.5, Y.add)
|
formula |
a model formula. Most of the lm formula constructs are supported. See below. |
ncomp |
the number of components to include in the model (see below). |
validation |
character. What kind of (internal) validation to use |
data |
an optional data frame with the data to fit the model from. |
nbpass |
Number of passes |
out |
T value threshold for outlier elimination |
Y.add |
a vector or matrix of additional responses containing relevant information about the observations. Only used for cppls. |
A list with the following components
outliers A vector with outliers names as deduced from data row.names
plsr the pls model object from the final pass
ncomp the number of components to be further used
pass a vector of same length as outliers indicating at which pass outliers were removed
J.-F. Rami rami@cirad.fr
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