covr, folio, FactoMineR, ggrepel, khroma, testthat (>=
3.0.0), vdiffr (>= 1.0.0)
'AllClasses.R' 'AllGenerics.R' 'bootstrap.R' 'ca.R'
'dimensio-package.R' 'helpers.R' 'jackknife.R' 'joint.R'
'mutators.R' 'pca.R' 'plot.R' 'show.R' 'subset.R' 'summary.R'
'svd.R' 'zzz.R'

c(person(given = "Nicolas",
family = "Frerebeau",
role = c("aut", "cre"),
email = "nicolas.frerebeau@u-bordeaux-montaigne.fr",
comment = c(ORCID = "0000-0001-5759-4944",
affiliation = "Université Bordeaux Montaigne")),
person(given = "Jean-Baptiste",
family = "Fourvel",
role = "ctb",
email = "fourvel@mmsh.univ-aix.fr",
comment = c(ORCID = "0000-0002-1061-4642",
affiliation = "CNRS")),
person(given = "Brice",
family = "Lebrun",
role = "ctb",
email = "brice.lebrun@u-bordeaux-montaigne.fr",
comment = c(ORCID = "0000-0001-7503-8685",
affiliation = "Université Bordeaux Montaigne")))
Simple Principal Components Analysis (PCA) and
Correspondence Analysis (CA) based on the Singular Value Decomposition
(SVD). This package provides S4 classes and methods to compute,
extract, summarize and visualize results of multivariate data
analysis. It also includes methods for partial bootstrap validation
described in Greenacre (1984) <isbn:978-0-12-299050-2> and Lebart et al.
(2006) <isbn:978-2-10-049616-7>.
covr, FactoMineR, ggrepel, khroma, testthat (>= 3.0.0),
vdiffr (>= 1.0.0)
'AllClasses.R' 'AllGenerics.R' 'bootstrap.R' 'ca.R' 'data.R'
'dimensio-package.R' 'ggplot2.R' 'helpers.R' 'mutators.R'
'pca.R' 'plot.R' 'show.R' 'subset.R' 'summary.R' 'svd.R'
'tidy.R' 'wrap.R' 'zzz.R'
Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>,
Université Bordeaux Montaigne),
Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>,
CNRS),
Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>, Université
Bordeaux Montaigne)

c(person(given = "V.", family =  "Vinothkumar", role = c("aut", "cre"),
email = "vinoth.agritech1115@gmail.com"),
person(given = "M.", family = "Saravanakumar", role = "aut"),
person(given = "Namitha", family = "M.R.", role = "aut"),
person(given = "J.", family = "Ramachandran", role = "aut"))
Performs Rayleigh's method of dimensional analysis.
This form of dimensional analysis expresses a functional relationship
of some variables in the form of an exponential equation
(Buckingham, (1914), <doi:10.1103/PhysRev.4.345>).
list( packages = list( list(package = "sympy") ) )
V. Vinothkumar [aut, cre],
M. Saravanakumar [aut],
Namitha M.R. [aut],
J. Ramachandran [aut]