• A didactically motivated PLS prediction algorithm 

      Ergon, Rolf; Esbensen, Kim H. (Journal article; Peer reviewed, 2001)
      The intention of this paper is to develop an easily understood PLS prediction algorithm, especially for the control community. The algorithm is based on an explicit latent variables model, and is otherwise a combination ...
    • PCR/PLSR optimization based on noise covariance estimation and Kalman filtering theory 

      Ergon, Rolf; Esbensen, Kim H. (Journal article; Peer reviewed, 2002)
      The theoretical connection between principal component regression (PCR) and partial least squares regression (PLSR) on one hand and Kalman filtering (KF) on the other is known from earlier work. In the present paper we ...