Iterative weighting of multiblock data in the orthogonal partial least squares framework

- The ComDim-OPLS algorithm is proposed for the supervised analysis of multiblock data structures.
- It associates the advantages of interpretability from the OPLS framework and the ability to weight each data table individually.
- A balance between predictive and descriptive purpose allows accounting for specific variation sources in each block.
- Three real case examples are proposed for illustration.