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Two fast group subset selection (GSS) algorithms for the linear regression model are proposed in this paper. GSS finds the best combinations of groups up to a specified size minimising the residual sum of squares. This imposes an l0 constraint on the regression coefficients in a group context. It is a combinatorial optimisation problem with NP complexity. To make the exhaustive search very efficient,...
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