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partial least squares discriminant analysis (plsda)  (Eigenvector Research Inc)

 
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    Eigenvector Research Inc partial least squares discriminant analysis (plsda)
    Partial Least Squares Discriminant Analysis (Plsda), 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/result/partial least squares discriminant analysis (plsda)/product/Eigenvector Research Inc
    Average 90 stars, based on 1 article reviews
    partial least squares discriminant analysis (plsda) - by Bioz Stars, 2026-04
    90/100 stars

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    Partial least squares discriminant analysis (PLSDA). Treatment was employed as response variable, while the identified VOCs were used as predictor variables. Variable importance in projection (VIP) scores were used to filter compounds varying the most between different theses, and only compounds with a VIP score higher than 0.8 were included in the analysis. Circles, triangles, and inverted triangles were used to depict control fruit, 1 mg L −1, and 1.5 mg L −1 sodium selenate-treated fruit, respectively.

    Journal: Plants

    Article Title: Se-Enrichment Pattern, Composition, and Aroma Profile of Ripe Tomatoes after Sodium Selenate Foliar Spraying Performed at Different Plant Developmental Stages

    doi: 10.3390/plants10061050

    Figure Lengend Snippet: Partial least squares discriminant analysis (PLSDA). Treatment was employed as response variable, while the identified VOCs were used as predictor variables. Variable importance in projection (VIP) scores were used to filter compounds varying the most between different theses, and only compounds with a VIP score higher than 0.8 were included in the analysis. Circles, triangles, and inverted triangles were used to depict control fruit, 1 mg L −1, and 1.5 mg L −1 sodium selenate-treated fruit, respectively.

    Article Snippet: VOCs were analyzed by partial least squares discriminant analysis (PLSDA) using JMP ® , v. 16 (SAS Institute Inc., Cary, NC, USA).

    Techniques: Control