pls toolbox version 2.1 (Eigenvector Research Inc)
90
Structured Review
Eigenvector Research Inc
pls toolbox version 2.1
Pls Toolbox Version 2.1, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pls+toolbox+version+2%2E1/pls+toolbox/pm38772180-95-0-4
Average 90 stars, based on 1 article reviews
Pls Toolbox Version 2.1, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pls+toolbox+version+2%2E1/pls+toolbox/pm38772180-95-0-4
Average 90 stars, based on 1 article reviews
pls toolbox version 2.1 - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Effect on the partial least-squares prediction of yarn properties combining raman and infrared measurements and applying wavelength selection. Article Snippet: The combination of Raman and infrared spectroscopy on the one hand and wavelength selection on the other hand is used to improve the partial least-squares (PLS) prediction of seven selected yarn properties.. These properties are important for on-line quality control during production.. From 71 yarn samples, the Raman and infrared spectra are measured and reference methods are used to determine the selected properties. Article Title: Rapid identification and determination of adulteration in medicinal Arnebiae Radix by combining near infrared spectroscopy with chemometrics. Article Snippet: • Identify the authentic and adulterated medicinal AR by DD-SIMCA and PLS- Article Title: Application of multivariate analysis to optimize function of cultured hepatocytes. Article Snippet: Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, Michigan 48824, Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge Massachusetts 02139, and Center for Engineering in Medicine/Surgical Services, Massachusetts General Hospital, Harvard Medical School, and the Shriners Hospitals for Children, Boston, Massachusetts 02114 Article Title: A comparison of artificial neural networks with other statistical approaches for the prediction of true metabolizable energy of meat and bone meal. Article Snippet: The modeling by the PLS method was performed in the MATLAB (version 7.5, Mathworks Inc.) using |