Solved – OLS in R with linear inequality constraints on coefficients

What is best way to run OLS in R with linear inequality constraints, e.g.
$$y(x)= ax + b,$$ where $0<a<1$?

You can use constrOptim to minimise the RSS, subject to the constraints. There's an example in Modern Applied Statistics with S of using optim to do logistic regression via direct minimisation of the negative log-likelihood; just do the same, but changing the binomial likelihood to sums of squares and adding the constraint.

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