.BG
.FN svd
.TL
Singular Value Decomposition
.CS
svd(x, nu, nv)
.PP
.AG x
matrix of arbitrary size.
.AG nu
number of columns wanted in matrix `u', possibly
zero.  Default is `min(nrow(x),ncol(x))'.
.AG nv
number of columns wanted in matrix `v', possibly
zero.  Default is `min(nrow(x),ncol(x))'.
.PP
.RT
object containing
the components of the singular value decomposition,
`x=u %*% d %*% t(v)'
.RC u
if `nu>0', an `nrow(x)' by `nu' matrix of unit
orthogonal columns. Missing if `nu=0'.
.RC d
the vector of singular values (diagonal elements
of matrix `d').
.RC v
if `nv>0', `ncol(x)' by `nv' matrix of unit
orthogonal columns. Missing if `nv=0'.
.KW array
.KW algebra
.WR
