I would consider to perform a PCA analysis first, and use the factor scores of the axis with non-zero eigenvalues for the multiple regression.
Hope this helps, Kim morphmet wrote: > Dear morphometricians, > > I want to perform multivariate regression of landmark-specific signed > asymmetries on the centroid size. The problem is I am dealing with the > structure with object symmetry (namely, ventral side of a skull). Thus, > dimensionality of an asymmetric shape variation is reduced and its > covariance matrix is singular. I would greatly appreciate your advice > how to modify standard multivariate regression procedure in this case. > > Thank you in advance > > Ondra Mikula > ([EMAIL PROTECTED]) > > -- http://www.kimvdlinde.com -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
