It is straightforward that breaking the <em>orthogonalitycondition</em> implies biased and inconsistent estimates by means of the<em> ordinary least squares</em>. If moreover, the data are contaminatedit may significantly worsen the data processing, even if it is performed by <em> instrumental variables</em> or the ...</em>