multipass.pls: Wrapper for plsr function with multiple pass and outliers...

In jframi/multipass.pls: Wrapper functions to pls and cppls functions to run multiple passes and outlier elimination

Description

Wrapper for plsr function with multiple pass and outliers elmination

Usage

multipass.pls(formula, ncomp, validation, data, nbpass, out = 2.5)

Arguments

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

Value

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

Author(s)

J.-F. Rami [e-mail]

jframi/multipass.pls documentation built on May 19, 2019, 7:17 a.m.