Indeed, a non-negative least square estimator in the scikit-learn linear
models would be great. As you mention, the logic for nnls minimization is
already in scipy and we could reuse it. The word basically boils down to
writing the estimator object, the tests, examples and documentation.

We'd gladly accept a pull request implementing these.

Thanks!

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