nnnpls
(Package: nnls) :
An implementation of least squares with non-negative and non-positive
An implementation of an algorithm for linear least squares problems with non-negative and non-positive constraints based on the Lawson-Hanson NNLS algorithm. Solves min{parallel A x - b parallel_2} with the constraint x_i ≥ 0 if con_i ≥ 0 and x_i ≤ 0 otherwise, where x, con in R^n, b in R^m, and A is an m \times n matrix.
nnls-package
(Package: nnls) :
The Lawson-Hanson NNLS implementation of non-negative least squares
An R interface to the Lawson-Hanson NNLS implementation of an algorithm for non-negative linear least squares that solves the least squares problem min{parallel A x = b parallel_2} with the constraint x ≥ 0 where x in R^n, b in R^m and A is an m \times n matrix. Also allows the combination of non-negative and non-positive constraints on x.
nnls
(Package: nnls) :
The Lawson-Hanson NNLS implemention of non-negative least squares
An R interface to the Lawson-Hanson NNLS implementation of an algorithm for non-negative linear least squares that solves min{parallel A x - b parallel_2} with the constraint x ≥ 0, where x in R^n, b in R^m and A is an m \times n matrix.
providing 
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