The breakdown point of GM-estimators does not exceed 1/(p+1) where p is
dimension of explanatory variables in linear regression. One proposes a new
version of the GM-estimation with a high breakdown point (HBGM) to provide high
resistance against leverage points and vertical outliers. This paper presents a
technique aimed at routinely normalized and robustified Euclidean distance among
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