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partial least squares-discriminant analysis (plsda)  (Umetrics)

 
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    Umetrics partial least squares-discriminant analysis (plsda)
    Partial Least Squares Discriminant Analysis (Plsda), supplied by Umetrics, 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/partial+least+squares-discriminant+analysis+(plsda)/simca+13/pm40064431-143-18-26
    Average 90 stars, based on 1 article reviews
    partial least squares-discriminant analysis (plsda) - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Exploring the regulated effects of solid-state fortified Jiuqu and liquid-state fortified agent on Chinese Baijiu brewing.
    Article Snippet: Zaopei is the direct source of Chinese liquor (Baijiu).. Adding functional strains to Zaopei is a potential strategy to regulate Baijiu brewing, mainly including the two ways of solid-state fortified Jiuqu (SFJ) and liquid-state fortified agent (LFA).. Here, to explore their regulated details, the response patterns of Zaopei microecosystem and the changes in the product features were comprehensively investigated.

    Article Title: Inflammation and metabolic dysfunction underly anhedonia-like behavior in antidepressant resistant male rats.
    Article Snippet: To identify the variables that differ most between the control and ACTH treatments, supervised analysis using partial least squares-discriminant analysis (PLSDA) was performed using Simca v17 (Umetrics, Sartorius).



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    Partial least squares discriminant analysis <t>(PLSDA).</t> Treatment was employed as response variable, while the <t>identified</t> <t>VOCs</t> 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.
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    Partial least squares discriminant analysis <t>(PLSDA).</t> Treatment was employed as response variable, while the <t>identified</t> <t>VOCs</t> 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.
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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