Blar i Institutt for elektro, IT, og kybernetikk på emneord "Model reduction"

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    • Compression into two-component PLS factorizations 

      Ergon, Rolf (Journal article; Peer reviewed, 2003)
      Partial least squares regression (PLSR) often requires more than two components also in the case of a scalar response variable. As shown in papers on orthogonal signal correction (OSC), it is possible to reduce the number ...

    • Informative score-loading-contribution plots for multi-response process monitoring 

      Ergon, Rolf (Journal article; Peer reviewed, 2009)
      The projection based multivariate data methods of principal component regression (PCR) and partial least squares regression (PLSR) are well established in the eld of process monitoring. Use of score and loading plots for ...

    • Reduced PCR/PLSR models by subspace projections 

      Ergon, Rolf (Journal article; Peer reviewed, 2006)
      Latent variables models used in principal component regression (PCR) or partial least squares regression (PLSR) often use a high number of components, and this makes interpretation of score and loading plots difficult. ...