Performs least squares constrained optimization on a linear objective function. It contains a number of algorithms to choose from and offers a formula syntax similar to lm().

A package to perform a least squares constrained optimization on a linear objective function. It provides a very easy way to run a constrained linear regression using the `lm`

formula syntax that
most R users are familiar with.

Then to install colf run the following on your console:

devtools::install_github('lyzander/colf')

By typing on your console:

library(colf)colf_nls(mpg ~ ., mtcars, upper = rep(2, 11), lower = rep(-0.5, 11))

you can see a first example of how to run a constrained optimization on a linear objective function!

Will be filled in soon