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The View from Eigenvector

EigenNews and EigenViews from Barry and the Eigenvector staff.

The View from Eigenvector

Python is free

Apr 5, 2022

PLS_Toolbox is not free.  But you don’t have to be a dedicated data scientist to use PLS_Toolbox (or its stand-alone equivalent Solo). Many of its users are, but the real expertise of most users is in something else such as analytical instrumentation (typically spectroscopy) or the specific problem they are working on (e.g. chemical process […]

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Remembering Svante

Jan 6, 2022

Svante Wold passed away on January 4, 2022, at the age of 81. In the fields of chemometrics and data science, there is no need to use his last name. If you say “Svante,” everybody knows who you are talking about. I first met Svante almost 30 years ago at the Chemometrics in Analytical Chemistry […]

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Under Same (Old) Management

Oct 21, 2021

That’s not a headline you see very often. Usually it’s “Under New Management.” But here at Eigenvector Research we’re proud of our stability. I wrote the first version of our MATLAB-based PLS_Toolbox while I was in graduate school thirty-one years ago. I still oversee its development along with our other software products. In 1990 Partial […]

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Year 27

Jan 5, 2021

And so it begins again! For the 27th time I’ve gotten up on the first business day of January looking forward to a new year with Eigenvector Research. The overall plan doesn’t change much: keep improving the software, provide training in data science/chemometric methods and help clients with their challenging data problems. But the details! […]

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Eigenvector Turns 25

Jan 1, 2020

Eigenvector Research, Inc. was founded on January 1, 1995 by myself and Neal B. Gallagher, so we’re now 25 years old. On this occasion I feel that I should write something though I’m at a bit of loss with regards to coming up with a significantly profound message. In the paragraphs below I’ve written a […]

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The Software Sweet Spot for Metabolomics

Aug 21, 2019

I attended Metabolomics 2019 and was pleased to find a rapidly expanding discipline populated with very enthusiastic researchers. Applications ranged from developing plants with increased levels of nutrients to understanding cancer metabolism. Metabolomics experiments, however, produce extremely large and complex data sets. Consequently, the ultimate success of any experiment in metabolomics hinges on the software […]

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