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Assessing the linear relationship between a set of continuous predictors and a continuous response is a well-studied problem in statistics and data mining. -based methods such as ordinary least squares and orthogonal regression can be used to determine this relationship. However, both of these methods become impaired when influential values are present. This problem becomes compounded when outliers confound standard diagnostics. This work proposes an -norm orthogonal regression method (OR)doi:10.1155/2011/263762 fatcat:kynq65jq6fedlcbr6hmtojuinq