Analysis of Consumer Data – Module C13 – Predicting product performance from existing data using machine learning methods – Partial Least Squares Modelling (PLS)

Current Status
Not Enrolled
Price
£200 Ex UK VAT
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This course is  available as a live online training or a pre-recorded on demand training session.

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 basic statistics e.g. as in Module C01 and C02 (available as pre-recorded on demand sessions on our website) and familiarity with simple regression modelling (Module C1) and Principal Components Analysis (PCA) as in Module C3

Software used: XLSTAT (free 14-day trial version is available from their website here)

Course materials for this training (slide deck of webinar presented slides, workshops and datasets) are available to download – see relevant pages as you progress through the course

This is just one module from the Statistical analysis of consumer data training course. For a full list of other course modules have a look at our website here: https://www.qistatistics.co.uk/product-category/training/ – also shown in the infographic at the end of the course.

Course materials for this training (slide deck of webinar presented slides, workshops and datasets) are available to download - see relevant pages

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