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Written by Johan Trygg   
Welcome to the new Editorial section at Chemometrics.se. In the past, the Tutorial and Editorial sections were merged. Now, these have been separated.
The Editorials will discuss and reflect upon both scientific and non-scientific issues in Chemometrics. They will provide a subjective view on a chosen topic, based on the author's experience and thoughts (objectivity is left to other sections on Chemometrics.se). This may provoke some people, or make them happy since there is no censuring made. Hence it's important to notify you, the reader, that Chemometrics.se does not necessarily share the opinion or statements made. We believe this will spark a discussion around the topic.

With this I welcome you once again,
Johan Trygg
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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
The Use of Virtual Calibrations to Facilitate Understanding of Factor Analysis

Factor Analysis (FA), which includes Principal Component Analysis (PCA) and Partial Least Squares (PLS), is more and more employed in academia and industry for various purposes such as spectrometer calibration, process modeling, data mining, quality control, etc. While software offering friendly interfaces have contributed to make this approach extremely popular, FA remains far from being straightforward, and examples of inappropriate use are not rare.

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