Nordic Arctic

Ingrid Måge, Tormod Næs and Kristian Hovde Liland attended the Nordic Arctic workshop in Groningen, in the Netherlands, together with Ulf Geir Indahl from NMBU.

There were several good talks and fruitful discussions by the attendees from Norway, Denmark, the Netherlands, Italy and Spain, spanning a variety of methods and subjects in data analysis.


Kristian Hovde Liland talks about extensions of the ROSA method for multiblock analysis.


Ulf Geir Indahl talks about Tikhonov Regularisation and fast leave-one-out cross-validation.

Nofima at COST Meeting FoodMC

Kristian Hovde Liland and Ingrid Måge participated last week at the second meeting of the COST action FoodMC. The action is led by INRA, and the meeting took place in INRA’s premises in Versailles. The full title is “Mathematical and Computer Science Methods for Food Science and Industry”. The goal is to Support the food sector in facing futures challenges in production and processing, adopting modelling and optimization methods from Maths and Computer Science.

Ingrid leads the working group called “Modelling food products and food Processes.” This is the largest working group, with over 50 members (and growing). The group is composed of researchers with backgrounds from both mathematical and statistical modeling, two fields that traditionally have limited collaboration. The applications range from mathematical-physical modeling of wafer fracture, through quantification of insects in wheat flour using NIR spectroscopy, to decision support models used to select the appropriate packaging machine. It is an interesting and challenging job to coordinate such a diverse group of scientists, with a correspondingly large potential to expand our horizons and acquire new valuable contacts.

For more info about the COST action, see:

Mini-Arctic 5-6’th November

On November 5’th and 6’th a lunch-to-lunch workshop in chemometrics, statistics and data analysis was held at Nofima, Ås. The workshop was a follow-up on the conference “Arctic Analysis” that was held in Greenland in March 2014. Around twenty people from the Netherlands, Italy, Denmark and Norway  were invited. The participants were a mix of experienced and young researchers, but only the “young and promising” had the opportunity to present their work this time.

The program contained a variety of topics, but the majority were related to data fusion/multiblock methodology. The full titles of the presentations are listed below. The workshop was informal, and the small format allowed good and fruitful discussions. A new mini-workshop is planned next year in the Netherlands, before a full “Arctic Analysis” conference the year after.

On Wednesday evening there was a dinner in Oslo, of course in the “Grønland” district at “Olympen”, where we had traditional Norwegian Christmas food: “ribbe” and “riskrem”.

As usually, Solveig (Adm. Coordinator) had organized the practical parts of the workshop in an excellent way.


  • Comparison of structure-revealing data fusion models, Evrim Acar (University of Copenhagen)
  • Procrustes based clustering of multiblock data from projective mapping experiments, Ingunn Berget (Nofima)
  • Variants of Tikhonov Regularization for modelling spectral data, Joakim Skogholt (NMBU)
  • Separating common from distinctive variation, Frans van der Kloet (Leiden University, Netherlands Metabolomics Centre)
  • Analysis of designed experiments with focus on the ANOVA-Target projection approach, Federico Marini ( of Chemistry, University of Rome “La Sapienza”)
  • Classification of plastics containing brominated flame retardant through hyperspectral imaging and chemometrics, Marta Bevilacqua (University of Copenhagen)
  • Multi-set analysis for Multicolour Flow Cytometry: chemometrics for omics analysis of immunology, Jeroen Jansen (Radboud University)
  • A fast opportunistic PLS method for Multiblock data analysis, Kristian Liland (Nofima)
  • SO-NPLS: Sequentially Orthogonalized-Partial Least Squares for multiway arrays, Alessandra Biancolillo (Nofima, University of Copenhagen)
  • How to investigate highly correllated reference data, Åsmund Rinnan (University of Copenhagen(
  • Common an distinct components in data fusion – what does it mean in practice?, Ingrid Måge (Nofima)

SSC14- Sardinia

The 14’th Scandinavian Symposium in Chemometrics (SSC14) were held in Chia in Sardinia June 14-17. Some may think this was outside Scandinavia, and although the island has a nice coast and a fantastic nature, they are right. The advantageous of having a conference in Sardinia is, however, nice temparatures, nice beaches, nice temperatures for swimming and last, but at not least nice food and drinks. There were approximately 140 participants.

Participants from Nofima and NMBU were

Kristian Hovde Liland: “Comparing different measurement technologies by considering low-dimensional projections of associated sample data matrices”

Ingunn Berget: «Critical comparison of distance based methods, PCA and multiblock analyses of Polarized Sensory Positioning data” (flash presentation)

Ulf Indahl (NMBU): “Explaining the secrets behind O-PLS and Target Projections to non-experts by elementary linear algebra.”

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SCREAM: Seminar with Federico Marini

federicoOn Friday the 21’st of November at 12:00, Federico Marini from Dept. of Chemistry, University of Rome “La Sapienza”, will give a seminar on SCREAM

SCREAM: A novel method for multi-way regression problems with shifts and shape changes in one mode

 Brief Description: Some fields where calibration of multi-way data is required, such as hyphenated chromatography, batch process monitoring or sensory analysis, can suffer of high inaccuracy when traditional N-PLS is used, due to the presence of shifts or shape changes in one of the modes. To overcome this problem, a new regression method for multi-way data called SCREAM (Shifted Covariates REgression Analysis for Multi-way data) [1], which is based on a combination of PARAFAC2 and principal covariates regression (PCovR), is proposed. The method is tested on real and simulated datasets providing good results and performing as well or better than other available regression approaches for multi-way data.

Reference: F. Marini and R. Bro. SCREAM: A novel method for multi-way regression problems with shifts and shape changes in one mode. Chemom.Intell.Lab.Syst. 129:64-75, 2013.



Arctic Analysis

The workshop/conference Artic Analysis was recently held in Ilulissat, Greenland. Approximately 25 chemometricians/statitisticansfrom Norway (Nofima), Denmark, the Netherlands, Spain and Italy met in beautiful surroundings. The topics for sessions of the conference where

– Modelling strategies

– Big Data

– Dirty Data

– Data fusion/multiblock

– “Secret” session (philosophical)

– Discussion session with selected topics from the above sessions.

This was a small conference with invited people, with a format that facilitatet good discussions. Adding a nice hotel with good food ( and spectacular view of icebergs, made this and unforgettable event.

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From top left: All participants, from dog sledge ride, the town of Illulisat,

From bottom left: icebergs  in sunset, the hotel, more icebergs (view from hotel)

Invited lecture at MARS

MarsOliver Tomic gave an invited lecture on multivariate statistics at the annual Mars Community of Practice, Flavours meeting on 12. of September. This year’s meeting takes place in Chicago at the Wrigley Global Innovation Center and Kendall College from 11. to 13. of September. Oliver was one of five external invited speakers giving 45 minute lectures.