https://github.com/cran/nnls
Tip revision: cbd23332f13da3254bd2ac7b69960be11642c6e5 authored by Katharine Mullen on 19 March 2012, 00:00:00 UTC
version 1.4
version 1.4
Tip revision: cbd2333
nnls-package.Rd
\name{nnls-package}
\alias{nnls-package}
\docType{package}
\title{The Lawson-Hanson NNLS implementation of non-negative least squares}
\description{
An R interface to the Lawson-Hanson
NNLS implementation of an algorithm
for non-negative linear least squares
that solves the least squares problem
\eqn{\min{\parallel A x = b \parallel_2}}
with the constraint \eqn{x \ge 0} where
\eqn{x \in R^n, b \in R^m} and \eqn{A} is an
\eqn{m \times n} matrix.
Also allows the combination of non-negative and non-positive
constraints on \eqn{x}.
}
\references{
Lawson CL, Hanson RJ (1974). Solving Least Squares Problems. Prentice
Hall, Englewood Cliffs, NJ.
Lawson CL, Hanson RJ (1995). Solving Least Squares Problems. Classics
in Applied Mathematics. SIAM, Philadelphia.
}
\keyword{ package }
\seealso{ \link{nnls}, \link{nnnpls},
the method \code{"L-BFGS-B"} for \link{optim},
\link[quadprog]{solve.QP}, \link[bvls]{bvls}
}