The initial purpose of this paper was to scope various mitigation's to fit models to observed data with heteroscedatic behaviour. The research target evolved in the last months, and another issue resulting in model misfit appeared. This issue is about the multiplicity of the poles of the underlying model. This issue will be discussed and mitigation's presented.
Dupuis, P., Van Overstraeten, N., Raskin, J.-P., Francis, L., & Flandre, D. (2011). Some mitigations for unequal data variance in linear regression. Proceedings of the AMCTM conference. Published. AMCTM conference, Göteborg (Sweden). https://hdl.handle.net/2078.5/252928