Data, software and scripts related to the Process PLS methodology manuscript

Process PLS repository including software implentations, data and scripts.

Repository contains:
- R package pathmodelr (See README.txt for installation guide) (GPLv3)
- Matlab library
- Link to Python implementation (here: https://doi.org/10.5281/zenodo.7074754)
- Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY)
- R code for the Val de Loire wine tasting analysis (CC-BY)

New in v2: PDF with helpfile to understand the model output

New in v4: Matlab implementation

New in v8: - Val de Loir analysis file includes function to rename the Process PLS output in R and a function to provide the outer-model R2 values of each block in a simple manner.
Also added the renaming function separately to 'software folder'

New in V9: - Python Implementation (link: https://doi.org/10.5281/zenodo.7074754)

Process PLS is a path modelling algorithm for multiblock data. First described in:
van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data" https://doi.org/10.1016/j.compchemeng.2021.107466