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))