A novel dimensionality reduction pattern recognition technique is proposed.
Continuous Locality Preserving Projections is based on continuous statistical modelling.
The technique is showcased in an oil adulteration problem using FTIR/Raman data.
Our approach proved better in classification rate than the state-of-the-art methods.
Results prove the potential of this novel technique to be used for screening purposes.