There is no "magic bullet" (package) for your problem. You must either learn
enough statistics to understand how to analyze your data, or consult with
someone who does.
FWIW collinearity is not in general amenable to automatic removal. However, you
can identify which inputs are collinear with each other, and omit the redundant
ones next iteration of your analysis, using (for example) the approach
suggested by Uwe. Deciding WHICH of the redundant inputs is most appropriate
to keep is the part computers are not so good at... that is where you must be
smarter or more creative than the computer.
Also, it would help you get responses if you included the context (earlier
discussion) in your replies.. most people do not use Nabble here. Reading and
following the requests in the footer of every message will also help.
---------------------------------------------------------------------------
Jeff Newmiller The ..... ..... Go Live...
DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
---------------------------------------------------------------------------
Sent from my phone. Please excuse my brevity.
Roberto <rmosce...@unitus.it> wrote:
>I do not know, because I tried to use rfe function (Backwards Feature
>Selection, Caret Package) to select wavelengths useful for a prediction
>model. Otherwise, rfe function give me back a lot of warning messages
>about
>collinearity between variables.
>
>So, I do not know if your script can be useful.
>I tried to use VIF-Regression to select variables, but rfe function
>advise
>me with the same warning messages again.
>
>What do you think about that?
>
>Thank you very much for your help.
>
>Best,
>Roberto
>
>
>
>--
>View this message in context:
>http://r.789695.n4.nabble.com/Package-to-remove-collinear-variables-tp4639200p4639226.html
>Sent from the R help mailing list archive at Nabble.com.
>
>______________________________________________
>R-help@r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
