Functions for regional frequency analysis
  using the methods of J. R. M. Hosking and J. R. Wallis (1997),
  "Regional frequency analysis: an approach based on L-moments".

European Commission's Labour Market Policy (LMP) database
  (<https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category>)
  provides information on labour market interventions, which are government
  actions to help and support the unemployed and other disadvantaged groups in
  the transition from unemployment or inactivity to work. It covers the EU
  countries and Norway. This package provides functions for downloading and
  importing the LMP data and metadata (codelists).

Linear model functions using permutation tests.

Implementation based on Zhang, Jie & Huang, Kun (2014) <doi:10.4137/CIN.S14021> Normalized ImQCM: An Algorithm for Detecting Weak Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression Module Discovery in Cancers. Cancer informatics, 13, CIN-S14021.

Data files and a few functions used in the book 
             'Linear Models and Regression with R: An Integrated Approach' 
             by Debasis Sengupta and Sreenivas Rao Jammalamadaka (2019).

Linear ridge regression coefficient's estimation and testing with different ridge related measures such as MSE, R-squared etc.
  REFERENCES
  i.   Hoerl and Kennard (1970) <doi:10.1080/00401706.1970.10488634>,
  ii.  Halawa and El-Bassiouni (2000) <doi:10.1080/00949650008812006>,
  iii. Imdadullah, Aslam, and Saima (2017),
  iv.  Marquardt (1970) <doi:10.2307/1267205>.

Exact and approximation algorithms for variable-subset
  selection in ordinary linear regression models.  Either compute all
  submodels with the lowest residual sum of squares, or determine the
  single-best submodel according to a pre-determined statistical
  criterion.  Hofmann et al. (2020) <doi:10.18637/jss.v093.i03>.

A collection of tests, data sets, and examples
 for diagnostic checking in linear regression models. Furthermore,
 some generic tools for inference in parametric models are provided.