 Solution

Apply the least-squares normal equations to the transformed matrix and vector:or equivalentlyHere $W^{T}W=\mathrm{diag}(w_1^2,\dots ,w_m^2)$. A unique minimizing vector exists when the weighted design matrix has full column rank; the equations themselves remain valid without that assumption.