Each technique is illustrated by worked examples using simple, familiar data sets, and the key features of the output from standard software packages is explained. Pitfalls for the unwary are highlighted wherever they oc - Principal component regression - Document - PDFSEARCH.IO

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	Each technique is illustrated by worked examples using simple, familiar data sets, and the key features of the output from standard software packages is explained. Pitfalls for the unwary are highlighted wherever they oc Add to Reading List Document Date: 2002-11-27 07:27:34 Open Document File Size: 207,26 KB Share Result on Facebook Facility University of Surrey Roehampton / / IndustryTerm multi-species multi-chemical data sets / software packages / multivariate analytical tools / / Organization School of Life Sciences / University of Surrey Roehampton / / Person Peter J A Shaw / Peter Shaw / / Position author / Lecturer / / ProgrammingLanguage J / / URL www.arnoldpublishers.com / / SocialTag Detrended correspondence analysis Multivariate analysis Correspondence analysis Principal component analysis Plot Linear regression Regression analysis Analysis Data set Statistics

Each technique is illustrated by worked examples using simple, familiar data sets, and the key features of the output from standard software packages is explained. Pitfalls for the unwary are highlighted wherever they ocAdd to Reading List