Preference Modelling using Partial Least Squares in XLSTAT, 16th July 0800am (GMT+1/BST)

Product code: R-Prefmap

Remote training

July 16, 2020

Virtual option available

The remote learning package consists of a live interactive lecture delivered online by one of the Qi Statistics team, 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 recorded webinar and as close to face-to-face training as it can be!

This module follows on from the Preference Mapping module, (held on 25th June) and focuses on using more advanced methods based around regression modelling  in XLSTAT for relating consumer acceptability to sensory/analytic measures.

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 1hr + workshops (also available at alternative time for other time zones – see course listings)

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 also be expected for the participant to have a basic knowledge of preference mapping techniques or have attended the previous webinar on preference mapping (recording may be available to purchase online).



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$294.25$326.95 (Excluding any applicable taxes)


Other course information

This short course is based on the face-to-face training developed 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