A unified matrix approach to the heteroskedastic linear regression mod
el and its estimation is presented. The Hadamard product plays an esse
ntial role. Our approach creates the possibility of treating not only
the standard linear but also nonlinear specifications. Special attenti
on is being paid to maximum-likelihood estimation.