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Introduction to Statistical Experimental Design PDF Print E-mail
Written by Johan Trygg   
How shall I find the optimum? This is a common question everywhere in business. In research and development, often half of the resources are spent on solving optimization problems. With the rapidly rising costs of making experiments, it is essential that the optimization is done with as few experiments as possible. This is one important reason why statistical experimental design is needed. DoE originated in the 1920's by a British scientist, Sir R. A. Fisher, as a method to maximize the knowledge gained from experimental data and it has evolved over the last 70 years. Most experimentation involves several factors and are conducted in order to optimize processes and or investigate and understand the relationships between the factors and the characteristics of the process (reponses) of interest.

 
 
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PLS vs canonical correlation and relation to the O2PLS method

I have compiled a few obvious differences between PLS2 and canonical correlation below . In addition, I also describe their relation to a recent development of the OPLS method called O2PLS.
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Tutorials and Editorials

The Tutorial and Editorial sections have now been updated with a link to their respective pdf files for you to download.

Regards,
Johan T
Tutorial flash
Wavelets in Chemometrics
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