Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA in R" contributed documentation on CRAN (now very dated).

Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation File Format) files are like 'CSV' files, with a little bit of added meta information in a header and standardized NA values. They are quite often used for machine learning data sets and were introduced for the 'WEKA' machine learning 'Java' toolbox. See <http://weka.wikispaces.com/ARFF> for further info on 'ARFF' and for <http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'. 'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and it is at least a faster reader (for bigger files). It uses 'readr' as parser back-end for the data section of the 'ARFF' file. Consistency with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of 'ARFF' files from 'OpenML'. Note that the 'OpenML' package is currently only available from 'Github' at: <https://github.com/openml/openml-r>.
c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net",
role = c("aut", "cre")), person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = c("aut")))
BBmisc, checkmate (>= 1.8.0), stringi, readr (>= 1.0.0)
Bernd Bischl [aut, cre],
Jakob Bossek [aut]

c(person(given = "Marc",
family = "Becker",
role = c("cre", "aut"),
email = "marcbecker@posteo.de",
comment = c(ORCID = "0000-0002-8115-0400")),
person(given = "Bernd",
family = "Bischl",
role = "aut",
email = "bernd_bischl@gmx.net",
comment = c(ORCID = "0000-0001-6002-6980")),
person(given = "Jakob",
family = "Bossek",
role = "aut",
email = "j.bossek@gmail.com"))
Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation
File Format) files are like 'CSV' files, with a little bit of added
meta information in a header and standardized NA values. They are
quite often used for machine learning data sets and were introduced
for the 'WEKA' machine learning 'Java' toolbox. See
<https://waikato.github.io/weka-wiki/formats_and_processing/arff_stable/>
for further info on 'ARFF' and for
<http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'.
'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and
it is at least a faster reader (for bigger files). It uses 'readr' as
parser back-end for the data section of the 'ARFF' file. Consistency
with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of
'ARFF' files from 'OpenML'.
BBmisc, checkmate (>= 1.8.0), readr (>= 1.0.0), stringi
Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>),
Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>),
Jakob Bossek [aut]