Statistical analysis of consumer data – Module C13 – Predicting product performance from existing data using machine learning methods – Partial Least Squares (PLS) regression modelling
Product code: Product Optimisation
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Remote training
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November 5, 2024 - November 5, 2024
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Virtual option available
Technique to build models to predict one block of correlated data from another. Applications covered include models to predict liking (from sensory/analytic data) or to predict sensory from instrumental/analytic data.
What this course will cover:
- PLS – how it works explained graphically
- Interpretation and application of key statistics (VIP, Q2)
- How to build a model selection strategy
- Application to linking liking and product characteristics (Sensory/ instrumental/ analytic)
- Issues to consider when predicting liking of future samples
Pre-requisite: familiarity with PCA Module 3 and regression module 2
This course is a live session, but a recording can also be purchased afterwards. Please contact us.
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$261.56 (Excluding any applicable taxes)