Hello Philip, That is it ! I knew I was lost somewhere along the garden path. Thank you :)
Best wishes, Katrien > On 14 May 2020, at 08:59, [email protected] wrote: > > Dear Katrien, > > > > The sum of the squared singular values in PLS equals the sum of all the > squared pairwise covariances between the two blocks of variables. Therefore, > what you can compute is the fraction of "squared" total covariance that each > PLS dimension accounts for. You can do this by dividing each squared singular > value by the summed squared singular values. > > Also, if one insists on a significance test, it should be based on the > distribution of these singular values. > > > > Best, > > > > Philipp > > > > Am Donnerstag, 14. Mai 2020 03:31:12 UTC+2 schrieb katrien.janin: > Hello everybody, > > I am hoping you can help me figure out the following: after having used the > integration.test function (geomorph), I would like to know the % each PLS > captures of the total covariance but I am kinda stumped on what might be a > good way how to go about it. > > I was initially thinking along the lines of generating the covariance matrix > of the two block (e.g. cov.il.is <http://cov.il.is/> <-cov(il.is.int > <http://il.is.int/>$A1.matrix,il.is.int <http://il.is.int/>$A2.matrix) and > computing the eigenvalue for each PLS , and then regress these. But of course > the cov matrix has a very different structure, so that will not work. I am > clearly thinking in the wrong direction, but for now I can’t seem to see the > tree in the forest. Any ideas? > > Best wishes, > Katrien > > -- > You received this message because you are subscribed to the Google Groups > "Morphmet" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected] > <mailto:[email protected]>. > To view this discussion on the web visit > https://groups.google.com/d/msgid/morphmet2/76c0b670-b6ed-448a-b80d-4d662263aa83%40googlegroups.com > > <https://groups.google.com/d/msgid/morphmet2/76c0b670-b6ed-448a-b80d-4d662263aa83%40googlegroups.com?utm_medium=email&utm_source=footer>. -- You received this message because you are subscribed to the Google Groups "Morphmet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/morphmet2/E020B98F-83D9-4C5C-868D-DF3D0640671B%40gmail.com.
