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Happy New Year 2010
Written by Johan Trygg   
Thursday, 31 December 2009

Dear fellow Chemometricians, 
We wish You all a Happy New Year 2010, and look forward to another exciting year and new opportunities for Chemometrics in both academia and industry.

best regards,
Webmaster, Chemometrics.se
Last Updated ( Saturday, 02 January 2010 )
Johan Trygg awarded with the Herman Wold medal in gold
Written by Johan Trygg   
Monday, 06 July 2009
The Swedish Chemical Society awarded Johan Trygg with the most prestigious international award for researchers in chemometrics. The medal in pure gold was presented by the Swedish Chemical Society at the international Scandinavian Symposium on Chemometrics SSC11, in Loen, Nordfjord, Norway, on June 10th 2009.
Last Updated ( Wednesday, 08 July 2009 )
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SSC11, Loen, Nordfjord, NORWAY, June 8-11, 2009
Written by Johan Trygg   
Saturday, 07 March 2009

Fellow chemometricians,
On behalf of the organizers, it is my pleasure to invite you to the 11th Scandinavian Symposium on Chemometrics:
http://www.kj.uib.no/ssc11

The program is finalized, but we still accept some late poster contributions.We have approx. 100 excellent contributions for the conference and also three high-quality pre-conference courses.
Last Updated ( Saturday, 07 March 2009 )
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Editorial flash
Can we use the regression coefficient profile for selecting PLS components?
The linear model y=Xb + f is often used in chemometrics. Unfortunately, we have put too much emphasis on the importance of the regression coefficient profile b, and mistakenly assumed or believed that it should be a good estimate of the "pure profile". This is not true, and I will argue why in later editorials. But this time, I want to address an earlier question that was posed in relation to the regression coefficient profile.
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News flash
Discussion Forum is available again

Dear Chemometrics.se visitor,

Due to the many requests to reopen the Chemometrics Discussion Forum, I have made it available here at Chemometrics.se (under Discussion Forum in the menu).

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Tutorial flash
Variable subset selection in linear regression
Many companies are collecting large amount of data and frequently it is a basic issue, which part of data should be used in the analysis. For instance, companies are investing in NIR instruments for on-line control of the production. Which part of the spectra should be used in the analysis?
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