• Three PLS-based methods for variable ranking and interaction detection 

      Cunen, Céline (Master thesis, 2014-07-11)
      Abstract: Variable ranking can be important for the analysis of high-dimensional data. Identifying a subset of relevant variables can be useful both for subsequent model construction and for further investigation of the ...
    • Truncation-PLS for Variable Selection : a simulation study 

      Yao, Ying (Master thesis, 2014-08-06)
      Partial least squares (PLS) is a class of statistical methods for multivariate data analysis. In the PLSR algorithm, regression, reducing dimensions and analyzing correlations among variables are simultaneously performed. ...