Partial Least Squares (PLS) Data Analysis Methods
plsdepot contains different methods for PLS analysis of
one or two data tables such as Tucker's Inter-Battery, NIPALS,
SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis.
The main reference for this software is the awesome book (in
French) 'La Regression PLS: Theorie et Pratique' by Michel
The R package plsdepot provides a general framework for Partial Least Squares (PLS) Data Analysis Methods. plsdepot comes with a set of functions for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, as well as PLS Canonical Analysis.
To install the stable version of plsdepot from CRAN, run in your R console:
To install the development version of plsdepot from github (using the package "devtools""), simply run in your R console:
# install.packages("devtools") library(devtools) install_github('plsdepot', username='gastonstat')
More info at http://www.gastonsanchez.com/plsdepot
It's been more than 3 years since I first launched the R package plspm. From the feedback of several colleagues, analysts and practitioners, I believe that I did the right thing in releasing and sharing the work of my doctoral adventure. I've received a lot of emails with nice comments, compliments, and congratulations. But I've also received constructive criticism, proposals, improvement suggestions... and bug reports.
If there is something in particular that I've learned over the last 3 years, is that being the maintainer of a package can be a really tough task. And this is the main reason for me to launch plsdepot.
I've decided to split plspm in order to separate those methods specifically designed for PLS Path Modeling from the rest of the PLS methods. This makes much easier the maintainance of the functions, and it also allows me to kill the bugs in a more efficient way.
I know this decision may affect the work of some people, but in the long run is the only feasible solution that I can offer to keep my altruistic work alive.
Gaston Sanchez (gaston.stat at gmail.com)
Functions in plsdepot
|carsmissing||carsmissing data set|
|plot.nipals||Plot NIPALS basic results|
|plot.plsreg2||Plot PLS-R2 basic results|
|plsca||PLS-CA: Partial Least Squares Canonical Analysis|
|linnerud||Linnerud data set|
|vehicles||Vehicles data set|
|interbat||Tucker's Inter-Battery Method of Factor Analysis|
|plsreg2||PLS-R2: Partial Least Squares Regression 2|
|cornell||Cornell data set|
|plsreg1||PLS-R1: Partial Least Squares Regression 1|
|carscomplete||carscomplete data set|
|nipals||NIPALS: Non-linear Iterative Partial Least Squares|
|simplsca||SIMPLS-CA: SIMPLS Canonical Analysis|
|plot.plsca||Plot PLS-CA basic results|
|simpls||SIMPLS: Alternative Approach to PLS Regression|
|plot.interbat||Plot inter-battery basic results|
|plot.plsreg1||Plot PLS-R1 basic results|
|ropes||Climbing Ropes data set|
|plot.simplsca||Plot SIMPLS-CA basic results|
|plot.simpls||Plot simpls basic results|
Last month downloads
|Collate||'nipals.R' 'plot.nipals.R' 'plot.plsca.R' 'plot.plsreg1.R' 'plot.plsreg2.R' 'plsca.R' 'plsreg1.R' 'plsreg2.R' 'print.nipals.R' 'print.plsca.R' 'print.plsreg1.R' 'print.plsreg2.R' 'interbat.R' 'plot.interbat.R' 'print.interbat.R' 'print.simpls.R' 'print.simplsca.R' 'simpls.R' 'simplsca.R' 'plot.simpls.R' 'plot.simplsca.R'|
|Packaged||2012-11-12 19:46:29 UTC; gaston|
Include our badge in your README