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principal components analysis (pca; proc princomp, sas version 9.4)  (SAS institute)


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    SAS institute principal components analysis (pca; proc princomp, sas version 9.4)
    Principal Components Analysis (Pca; Proc Princomp, Sas Version 9.4), supplied by SAS institute, 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/principal+components+analysis+sas+proc+princomp/principal+component+analysis++pca++procedure/10__1002_slash_naaq__10136-81-7-14
    Average 90 stars, based on 1 article reviews
    principal components analysis (pca; proc princomp, sas version 9.4) - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Comparative Analysis of Perennial and Annual Phaseolus Seed Nutrient Concentrations
    Article Snippet: To test for overall relationships between ion and amino acid concentrations, a principal components analysis (PCA; SAS PROC PRINCOMP) was first performed to reduce the dimensionality of the data.

    Article Title: Species richness and niche space for temperate and tropical folivores.
    Article Snippet: We measured structural and chemical traits of the leaves of native, broad-leaved trees in two temperate localities [southern Ontario, Canada (34 species), and Missouri (36 species)] and one tropical locality [central Panama (samples of 21 and 23 species)] to test the hypothesis that the greater diversity of tree species and herbivore species in the tropics is associated with greater resource niche space for herbivores.. Variables were leaf toughness, water content, dry mass per unit area, several structural and nutritional carbohydrates, common mineral elements, including nitrogen and phosphorus, and several defensive compounds, including tannins and alkaloids.. The four samples were almost fully separable by discriminant analysis on the basis of these leaf traits.

    Article Title: Variation in Lupinus arboreus alkaloid profiles and relationships with multiple herbivores
    Article Snippet: Because our purpose was to determine how several factors contribute to variability in alkaloid profiles, we used principal components analysis (PCA hereafter; SAS PROC PRINCOMP) to create new orthogonal variables that were linear combinations of the original variables.



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