.BG
.VE $Header: /usr3/s/current/s/.help/RCS/svd,v 1.2 83/12/30 19:35:17 rab Exp $
.FN svd
.TL
svd: Singular Value Decomposition
.CS
svd(y, nu, nv)
.PP
.AG y
matrix of arbitrary size.
.AG nu
optional number of columns wanted in matrix `u', may be
zero.  Default is `min(nrow(y),ncol(y))'.
.AG nv
optional number of columns wanted in matrix `v', may be
zero.  Default is `min(nrow(y),ncol(y))'.
.PP
.RT
structure containing
the components of the singular value decomposition,
`y=u %* d %* t(v)'
.RC u
if `nu>0', an `nrow(y)' 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(y)' by `nv' matrix of unit
orthogonal columns. Missing if `nv=0'.
.KW array*
.KW linear algebra
.KW algebra
.WR
