Extended Partial Least Squares

Identification algorithm

Over-fitting is caused when the variance of the error term dominates the prediction error of the model. The variance error term dominates when dealing with short and fat data sets, which is typical in batch processes.
E-PLS tackles over-fitting by minimizing a prediction error cost function with an expanded number of error terms.

Reference:
-Title: Expanded PLS algorithm: Modeling of Batch Processes
-Authors: D. Laurí and B. Lennox
-Journal: Chemometrics and Intelligent Laboratory Systems
-Year: 2014