Just regress against size, that will take the effect of allometry on the dataset as a whole analysed as a whole away, but be ware that the presence of allometric variation result in a violation of the requirement of isotropic error distribution, and that if a single point has more variation than other points, this variation is spread out across all landmarks. In a way, it will remain present in the dataset and as such, it is impossible to determine where in the system the allometry is present.
Good luck! Kim morphmet wrote: > Dear morphometricians, > > I work on the Origin of Orcadian voles using a GPA analysis on first > lower molar (M1) Landmarks. > I use TPS series and NTSYS-pc to perform the analyses. > Voles' M1 display huge differences in their centroid size which has, > according to the multivariate regression, highly significant effect over > shape variance. > I would like to remove this allometric component. Is it possible to > perfom a standardization with TPSregr? > > Thank you very much in advance for any kind of help > > Thomas > -- http://www.kimvdlinde.com -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
