It is common practice to perform a principal component analysis (PCA)
on a correlation matrix to represent graphically the relations among n
umerous variables. In such a situation, the variables may be considere
d as points on the unit hypersphere of an Euclidean space, and PCA pro
vides a sort of best fit of these points within a subspace. Taking int
o account their particular position, this paper suggests to represent
the variables on an optimal three-dimensional unit sphere.