I am fittting a linner regression with constrained parameters, saying, all
parameters are non-negative and sum up to 1.

I have searched historical R-help and found that this can be done by
solve.QP from the quadprog package. I need to assess the significance of the
coefficient estimates, but there is no standard error of the coefficient
estimates in the output. So I can not compute the p-value.

Is there any other methods or packages which can do the constained
regression with the standard error or p-values in the output?

Thanks!

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