Novel algorithm proposed for efficient selection of variables in chemometrics applications

A new variable selection method for use in chemometrics applications has recently been proposed by a team of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences. They call the algorithm multi-weight optimal-bootstrap soft shrinkage (MWO-BOSS). The work is published in Infrared Physics & Technology.