eigenvector research pls toolbox version 9.2.1 (Eigenvector Research Inc)
90
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Eigenvector Research Inc
eigenvector research pls toolbox version 9.2.1
Eigenvector Research Pls Toolbox Version 9.2.1, 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+9%2E2%2E1/eigenvector+pls+toolbox/pmc11966258-69-9-15
Average 90 stars, based on 1 article reviews
Eigenvector Research Pls Toolbox Version 9.2.1, 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+9%2E2%2E1/eigenvector+pls+toolbox/pmc11966258-69-9-15
Average 90 stars, based on 1 article reviews
eigenvector research pls toolbox version 9.2.1 - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Chemometrically driven multiplexed metal ion detection using a triple emitting quantum dots–based nanoprobe Article Snippet: In the case of binary and ternary metal ion mixtures, the accuracy of PLS and U-PLS models was evaluated based on RMSECV, RMSEP, R 2 CV , and R 2 P . The PCA, PLS, and PLS-DA models and respective calculations were performed in Matlab 2023a environment (MathWorks, Natick, MA, USA), using the Article Title: Chemometrically driven multiplexed metal ion detection using a triple emitting quantum dots-based nanoprobe. Article Snippet: RMSE = � ∑N i=1 � ŷi − yi �2 N The PCA, PLS, and PLS-DA models and respective calculations were performed in Matlab 2023a environment (MathWorks, Natick, MA, USA), using the Article Title: Application of NIR Spectroscopy for the Valorisation of Cork By-Products: A Feasibility Study over the Screening and Discrimination of Chemical Compounds of Interest Article Snippet: All the calculations and models were made in the Matlab 2023a environment version 9.14.0.2254940 (MathWorks, Natick, MA, USA), also using the Article Title: Discrimination and Quantification of Cotton and Polyester Textile Samples Using Near-Infrared and Mid-Infrared Spectroscopies Article Snippet: RPD values < 1.0 indicate very poor model predictions and their use is not recommended; RPD between 1.0 and 1.4 indicate poor model predictions; RPD between 1.4 and 1.8 indicate fair predictions; between 1.8 and 2.0 indicate good predictions; between 2.0 and 2.5 indicate very good predictions; and RPD > 2.5 indicate excellent model predictions [ ]. (3) R P D = s t d R M S E P Matlab version R2023a (MathWorks, Natick, MA, USA) and the |