procrustes(amat, target, orthogonal=F, translate=F, magnify=F)
amat.
Missing values are not accepted.
TRUE, then the rotation will be orthogonal.
TRUE and if
orthogonal is
TRUE, then
the matrix will be translated toward
target.
TRUE and if
orthogonal is
TRUE, then
the matrix will be magnified by a factor.
amat.
rmat up to numerical precision.
orthogonal is
FALSE.
orthogonal is
TRUE.
orthogonal and
translate are
TRUE.
The
translate and
magnify arguments are useful for multi-dimensional
scaling.
Harman, H. H. (1976).
Modern Factor Analysis,
3rd Edition.
University of Chicago Press, Chicago.
Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979).
Multivariate Analysis.
Academic Press, London.
prim9.pcl <- princomp(prim9)$loadings procrustes(prim9.pcl[,1:4], matrix(rep(rep(1:0,c(3,8)),length=36),9))