Message-ID: <s3smxikv4ho.fsf@slagelg.uio.no>
Date: 2011-05-18T07:42:59Z
From: Bjørn-Helge Mevik
Subject: Help with PLSR with jack knife
In-Reply-To: <979232.18431.qm@web28409.mail.ukl.yahoo.com> (Amit Patel's message of "Tue\, 17 May 2011 17\:10\:53 +0100 \(BST\)")
Amit Patel <amitrhelp at yahoo.co.uk> writes:
> BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, validation =
> "LOO")
>
> and
>
> BHPLS1 <- plsr(GroupingList ~ PCIList, ncomp = 10, data = PLSdata, validation =
> "CV")
[...]
> Now I am unsure of how to utilise these to identify the significant variables.
You can use the jackknife built into plsr to get an indication about
significant variables, by adding the argument "jackknife = TRUE" to the
plsr call. Use jack.test(BHPLS1) to do the test.
But _PLEASE_ do read the "Warning" section inf ?jack.test!
--
Regards,
Bj?rn-Helge Mevik