Hellwig's method is a method of selection of variables in linear model. It is widely used in Poland, probably only in Poland because it is really hard to find it in any scientific paper written in English.
Description of method:
$m_{k}$ - set of variables in k'th combination (there are $2^{p}-1$ combinations, where p is number of variables)
$r_{j}$ - correlation between $Y$ and $X_{j}$
$r_{ij}$ - correlation between $X_{i}$ and $X_{j}$
$H_{k}=\sum\limits_{j \in m_{k}}\frac{r_{j}^2}{\sum\limits_{i \in m_{k}}|r_{ij}|}$
Choose the combination of variables with the highest $H_{k}$
Question
Is this method used anywhere outside the Poland?
Does it have any scientific background? It seems that it based only on intuition that variables in a model should by highly correlated with $Y$ and poorly correlated with eachoter.