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Hierarchical principal component analysis (PCA) and projection to latent structure (PLS) technique on spectroscopic data as a data pretreatment for calibration
Uppsala University, Centre for Surface Biotechnology.
Medicinska vetenskapsområdet, Faculty of Pharmacy, Department of Medicinal Chemistry. (Organic Pharmaceutical Chemistry)
2001 (English)In: JOURNAL OF CHEMOMETRICS, ISSN 0886-9383, Vol. 15, no 4, 203-213 p.Article in journal (Refereed) Published
Abstract [en]

Spectroscopic data consists of several hundred to some thousand variables, wherein most of the variables are: autocorrelated. When PCA and PLS techniques are used for the interpretation of these kinds of data, the loading plots are usually complex due to

Place, publisher, year, edition, pages
2001. Vol. 15, no 4, 203-213 p.
Keyword [en]
hierarchical; multiplicative scattering correction (MSC); near infrared spectroscopy (NIR); infrared spectroscopy (IR); principal component analysis (PCA); projection to latent structures; chemometrics; qualimetrics; MODELS
Identifiers
URN: urn:nbn:se:uu:diva-38388OAI: oai:DiVA.org:uu-38388DiVA: diva2:66287
Note
Addresses: Janne K, Qualimetries AB, Olle Akares Vag 7C, SE-74334 Storvreta, Sweden. Qualimetries AB, SE-74334 Storvreta, Sweden. Uppsala Univ, Ctr Surface Biotechnol, BMC, SE-75123 Uppsala, Sweden. Q Med AB, SE-75228 Uppsala, Sweden. Pharmacia & Upjohn IAvailable from: 2008-06-11 Created: 2008-06-11 Last updated: 2011-01-14

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Lundstedt, T

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