Principal Component and Correspondence Analyses Using R - SpringerBriefs in Statistics - Herve Abdi - Books - Springer International Publishing AG - 9783319092553 - May 25, 2025
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Herve Abdi
Principal Component and Correspondence Analyses Using R - SpringerBriefs in Statistics 1st ed. 2023 edition

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With the right R packages, R is uniquely suited to perform Principal Component Analysis (PCA), Correspondence Analysis (CA), Multiple Correspondence Analysis (MCA), and metric multidimensional scaling (MMDS).

110 pages, 30 black & white illustrations, 10 colour illustrations, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released May 25, 2025
Original release date 2023
ISBN13 9783319092553
Publishers Springer International Publishing AG
Pages 110
Dimensions 150 × 220 × 10 mm   ·   225 g   (Weight (estimated))
Language English  

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