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 <-cov(il.is.int$A1.matrix,il.is.int$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]. To view this discussion on the web visit https://groups.google.com/d/msgid/morphmet2/3f4e89d4-786c-43a5-90e1-f98fece7a56b%40googlegroups.com.
