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Linear regression with constrained coefficient

I have to perform a linear regression of the form $y=ax_1+bx_2+c$ where $b=(1-a)$ and I have errors both on the dependent variable y and on the predictors $x_1, x_2$. I am not sure how to handle the constraint on the second coefficient and the errors on the dependent variable. Any idea?

giuliac
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