Are you struggling to extract meaningful insights from your industrial data using traditional PLS (Partial Least Squares) modeling techniques? It’s a common challenge—despite scrutinizing scores, loadings and statistical parameters, achieving satisfactory model performance remains elusive.

In this webinar, Marc Champagne from ADM shares insights on how the company was able to implement a new PLS model methodology and:

• Boost the R2 PLS models from 5% to over 60%
• Split large datasets to reveal hidden insights and improve decision-making
• Leverage multiple high-performing models to optimize performance

Join us and see firsthand how PLS models can improve performance and empower your team with actionable insights. Register now to secure your spot!