Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.

Solves penalized least squares problems for big tall data
using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:
10.1080/00401706.2015.1054436>. The main fitting function is oem() and the
functions cv.oem() and xval.oem() are for cross validation, the latter being an
accelerated cross validation function for linear models. The big.oem() function
allows for out of memory fitting.

c(
person("Bin", "Dai", , "bdai@uwalumni.com", role = c("aut")),
person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre")),
person("Yixuan", "Qiu", , , c("ctb")),
person("Gael", "Guennebaud", , , c("cph")),
person("Jitse", "Niesen", , , c("cph"))
)
Bin Dai [aut],
Jared Huling [aut, cre],
Yixuan Qiu [ctb],
Gael Guennebaud [cph],
Jitse Niesen [cph]

person("Franz X.", "Mohr", email = "franz.x.mohr@outlook.com", role = c("aut","cre"))
Tools to access data from the data web service of the Oesterreichische Nationalbank (OeNB), <https://www.oenb.at/en/Statistics/User-Defined-Tables/webservice.html>.

May 2020 Occupational Employment and Wage Statistics
Contains data from the May 2020 Occupational Employment and
Wage Statistics data release from the U.S. Bureau of Labor Statistics. The
dataset covers employment and wages across occupations, industries, states,
and at the national level. Metropolitan data is not included.

May 2021 Occupational Employment and Wage Statistics
Contains data from the May 2021 Occupational Employment and
Wage Statistics data release from the U.S. Bureau of Labor Statistics. The
dataset covers employment and wages across occupations, industries, states,
and at the national level. Metropolitan data is not included.