A modified PLS regression model for quality prediction

In this paper, a modified partial least-squares (PLS) regression modeling method is proposed. The proposed method can build a modified regression model to extract the useful information in residual subspace, which is helpful to predict the output variables. With this method, more accurate quality variables are predicted. In simulation experiment, penicillin fermentation process is used to test the proposed modified PLS method and the conventional PLS method is also applied in the process. It is shown that the proposed method is more effective than the conventional PLS method.