Preference Modelling using partial least squares in XLSTAT – 23 March 2023 @ 15:00 (GMT)

Product code: R-Prefmodelling (USA)

Remote training

March 23, 2023 - March 23, 2023

The remote learning package consists of a lecture delivered online together with workshops for you to complete in your own time (solutions and data sets provided), plus a pdf of the lecture notes and email support whilst you are completing the workshop after the course for up to 2 weeks. More than just a lecture and as close to face-to-face training as it can be!

This module focuses on the statistical techniques and routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures, focussing on application and interpretation of preference modelling.

The course content is as follows:

  • Partial Least Squares (PLS) explained
  • Modelling Liking v sensory profile data or analytic data
  • PLS approach compared to PCA based PREFMAP
  • PLS measures explained (VIP, Q Squared), are PLS confidence intervals reliable?
  • RV coefficients as a investigative tool
  • Using PLS to link sensory and analytic/instrumental data


An extensive set of exercises with solutions (explanation of statistics and interpretation of maps) will be included as part of the training.

To be able to perform the exercises you will need a full demo-version of XLSTAT (or licensed copy of XLSTAT Basic + Sensory Methods module).


Length of Session:

Approx 2 hours + workshops


Course Pre-Requisites:

A basic understanding of statistics is assumed i.e. knowledge of statistical terminology and summary measures such as mean, variance, standard deviations.

It would be useful to have attended the Hands On Analysis of Consumer Test Data course 7, 9, 14, 16 March 2023 or at least have an understanding of common analyses for consumer data. Delegates attending the Hands on Consumer Test Data course will automatically qualify for a 10% discount on the Preference Modelling course.




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$359.64$398.88 (Excluding any applicable taxes)

Other course information

This short course is based on the face-to-face training developed in collaboration with Hal MacFie for sensory and consumer scientists, but instead offered in bite-size chunks redesigned for online learning, as part of a remote training package. You can sign up for as many or as few modules as you wish. They have been created to be delivered stand alone, although some may have pre-requisites regarding assumed statistical knowledge, so check the course details before booking!

  • After you complete your purchase, a few days before the session you will receive an email with a link and password for the session invite (via Zoom).
  • A pdf of course notes and any other required course materials will be sent to you before the session, for you to print off