pcls1: pcls1
In Jawad-Boulahfa/nnls2d: Comparison between the Non-negative least squares model and the multiple linear regression model (using the standard uniform distribution)
Description
Usage
Arguments
Value
Examples
Description
Solve the positively constrained least squares problem with 1 explanatory variable
Usage
1
pcls1(X, Y)
Arguments
X
a list containing the explanatory variable
Y
a list containing the response vector
Value
a list containing the optimal parameter and the Lagrange multiplier
Examples
1
results <- pcls1(X = data.frame(runif(5)), Y = data.frame(1:5))
Jawad-Boulahfa/nnls2d documentation built on Sept. 3, 2020, 10:37 p.m.
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Description Usage Arguments Value Examples
Description
Solve the positively constrained least squares problem with 1 explanatory variable
Usage
1 | pcls1(X, Y)
|
Arguments
X |
a list containing the explanatory variable |
Y |
a list containing the response vector |
Value
a list containing the optimal parameter and the Lagrange multiplier
Examples
1 | results <- pcls1(X = data.frame(runif(5)), Y = data.frame(1:5))
|
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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