Data analytics and data integration of complex data
OPLS and O2PLS are projection methods which offer an enhanced interpretation of complicated datasets. The transparent properties of OPLS and O2PLS to handle missing data, noise in X & Y, and multicollinearities – while still providing results that are meaningful and have a faithful graphical representation – make these methods ideal for data mining and data integration.
Topics for this webinar
- An introduction to the orthogonal projection methods OPLS and O2PLS
- Data analysis objectives with focus on understanding and model interpretation
- Applications in spectroscopy
- Applications in omics
- Applications in process data analysis