Multivariate regression by partial least squares
regression (PLSR) and principal component regression (PCR).
This package supersedes the pls.pcr package.

Multivariate regression by partial least squares
regression (PLSR) and principal component regression (PCR).

Partial Least Squares Regression (PLSR) and Principal Component
Regression (PCR)

Partial Least Squares and Principal Component regression
Bjørn-Helge Mevik, Ron Wehrens and Kristian Hovde Liland
Multivariate regression methods
Partial Least Squares Regression (PLSR), Principal Component
Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS)

Partial Least Squares and Principal Component Regression
Multivariate regression methods
Partial Least Squares Regression (PLSR), Principal Component
Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).

c(person("Bjørn-Helge", "Mevik", role = c("aut", "cre"),
email = "b-h@mevik.net"),
person("Ron", "Wehrens", role = "aut"),
person("Kristian Hovde", "Liland", role = "aut"),
person("Paul",  "Hiemstra", role = "ctb"))
Bjørn-Helge Mevik [aut, cre],
Ron Wehrens [aut],
Kristian Hovde Liland [aut],
Paul Hiemstra [ctb]

c(person("Kristian Hovde", "Liland", role = c("aut", "cre"),
email = "kristian.liland@nmbu.no"),
person("Bjørn-Helge", "Mevik", role = "aut" ,
email = "b-h@mevik.net"),
person("Ron", "Wehrens", role = "aut"),
person("Paul",  "Hiemstra", role = "ctb"))
Kristian Hovde Liland [aut, cre],
Bjørn-Helge Mevik [aut],
Ron Wehrens [aut],
Paul Hiemstra [ctb]

Partial least squares Regression for beta regression models
Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>.
This package provides Partial least squares Regression for beta regression models and kfold crossvalidation of such models using various criteria. It allows for missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.

Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Myriam
Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>, Nicolas
Meyer <Nicolas.Meyer@nmeyer@unistra.fr>.
This package provides Partial least squares Regression for
(weighted) beta regression models and kfold crossvalidation of
such models using various criteria. It allows for missing data
in the eXplanatory variables. Bootstrap confidence intervals
constructions are also available.