Now showing items 21-23 of 23

    • Re-interpretation of NIPALS results solves PLSR inconsistency problem 

      Ergon, Rolf (Journal article; Peer reviewed, 2009)
      The well-known nonlinear iterative partial least squares (NIPALS) algorithm is commonly used for computation of components in partial least squares regression (PLSR) with orthogonalized score vectors. Based on generalized ...
    • 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. ...
    • The Good Gain method for simple experimental tuning of PI controllers 

      Haugen, Finn (Journal article; Peer reviewed, 2012)
      A novel experimental method { here denoted the Good Gain method { for tuning PI controllers is proposed. The method can be regarded as an alternative to the famous Ziegler-Nichols' Ultimate Gain method. The approach taken ...