mcrals.nnls: Non-negative least squares
In svkucheryavski/mdatools: Multivariate Data Analysis for Chemometrics
mcrals.nnls R Documentation
Non-negative least squares
Description
Non-negative least squares
Usage
mcrals.nnls(
D,
A,
tol = 10 * .Machine$double.eps * as.numeric(sqrt(crossprod(A[, 1]))) * nrow(A)
)
Arguments
D
a matrix
A
a matrix
tol
tolerance parameter for algorithm convergence
Details
Computes NNLS solution for B: D = AB' subject to B >= 0. Implements
the active-set based algorithm proposed by Lawson and Hanson [1].
References
1. Lawson, Charles L.; Hanson, Richard J. (1995). Solving Least Squares Problems. SIAM.
svkucheryavski/mdatools documentation built on Aug. 25, 2023, 12:27 p.m.
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| mcrals.nnls | R Documentation |
Non-negative least squares
Description
Non-negative least squares
Usage
mcrals.nnls(
D,
A,
tol = 10 * .Machine$double.eps * as.numeric(sqrt(crossprod(A[, 1]))) * nrow(A)
)
Arguments
D |
a matrix |
A |
a matrix |
tol |
tolerance parameter for algorithm convergence |
Details
Computes NNLS solution for B: D = AB' subject to B >= 0. Implements the active-set based algorithm proposed by Lawson and Hanson [1].
References
1. Lawson, Charles L.; Hanson, Richard J. (1995). Solving Least Squares Problems. SIAM.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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