Regularizedsca: regularized simultaneous component analysis of multiblock data in r

HIGHLIGHTS

  • who: Zhengguo Gu from the Department of Methodology and Statistics, TSB, Tilburg University, LE, Tilburg, The Netherlands have published the Article: RegularizedSCA: Regularized simultaneous component analysis of multiblock data in R, in the Journal: (JOURNAL)
  • what: The authors show that the sparse SCA framework (Van Deun et_al, 2011) can be transformed into a sparse Group Lasso regression problem (Yuan and amp; Lin, 2006) resulting in a procedure that not only is more computationally efficient than the MM procedure implemented by Gu and Van Deun and Van Deun et_al but can also generate exact zeroes. The . . .

     

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