HIGHLIGHTS
- who: Camilo Broc from the (UNIVERSITY) have published the paper: Penalized Partial Least Square applied to structured data, in the Journal: (JOURNAL)
- what: The aim of this Article is to build theoretical background for the dimension reduction method sparse Partial Least Square (sPLS) in the context of data presenting such an observation set structure. The authors focus on the enhancement of the optimization problem and its Lasso formulation in its hth step. The authors investigate in which case Uoptk=0, i.e., when loading corresponding to a group of variables is set to (P,·) zero . . .
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