Best subsets regression using LP-norms with 1≤p<∞

Manfred Precht, H. Redinger

Research output: Contribution to journalArticlepeer-review


This paper describes an algorithm for determining the best subset of k variables in regression problems using any LP-norm with 1≤p<∞. The procedure is based on partial enumeration. It also makes a suggestion for finding the equation with least prediction error.

Original languageEnglish
Pages (from-to)128-134
Number of pages7
JournalStatistische Hefte
Issue number2
StatePublished - Jun 1964


Dive into the research topics of 'Best subsets regression using LP-norms with 1≤p<∞'. Together they form a unique fingerprint.

Cite this