alr3: Data to accompany Applied Linear Regression 3rd edition , This package is a companion to the textbook S. Weisberg (2005), ”Applied Linear Regression,” 3rd edition, Wiley. It includes all the data sets discussed in the book (except one), and a few functions that are tailored to the methods discussed in the book. As of version 2.0.0, this package depends on the car package. Many functions formerly in alr3 have been renamed and now reside in car. Data files have beeen lightly modified to make some data columns row labels. (Source:

References in zbMATH (referenced in 145 articles , 1 standard article )

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  1. Vanneschi, Leonardo: An introduction to geometric semantic genetic programming (2017)
  2. Wang, Tao; Wen, Xuerong Meggie; Zhu, Lixing: Multiple-population shrinkage estimation via sliced inverse regression (2017)
  3. Bertsimas, Dimitris; King, Angela: OR forum: An algorithmic approach to linear regression (2016)
  4. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  5. Söküt Açar, Tuğba; Özkale, M.Revan: Influence measures in ridge regression when the error terms follow an AR(1) process (2016)
  6. Alizadeh, Morad; Cordeiro, Gauss M.; de Brito, Edleide; Demétrio, Clarice Garcia B.: The beta Marshall-Olkin family of distributions (2015)
  7. Constantine, P.G.; Emory, M.; Larsson, J.; Iaccarino, G.: Exploiting active subspaces to quantify uncertainty in the numerical simulation of the hyshot II scramjet (2015)
  8. Harandi, S. Shams; Alamatsaz, M.H.: Discrete alpha-skew-Laplace distribution (2015)
  9. Liu, Xuejing; Yu, Zhou; Wen, Xuerong Meggie; Paige, Robert: On testing common indices for two multi-index models: a link-free approach (2015)
  10. Ma, Ping; Mahoney, Michael W.; Yu, Bin: A statistical perspective on algorithmic leveraging (2015)
  11. Shiga, Motoki; Tangkaratt, Voot; Sugiyama, Masashi: Direct conditional probability density estimation with sparse feature selection (2015)
  12. Zhao, Weihua; Zhang, Riquan: Variable selection of varying dispersion student-$t$ regression models (2015)
  13. Codd, Casey L.; Cudeck, Robert: Nonlinear random-effects mixture models for repeated measures (2014)
  14. Denecke, Liesa; Müller, Christine H.: Consistency of the likelihood depth estimator for the correlation coefficient (2014)
  15. Gürcan, Önder: Effective connectivity at synaptic level in humans: a review and future prospects (2014)
  16. Haggag, Magda M.M.: Combining of dimension reduction regression methods (2014)
  17. Lan, Wei; Wang, Hansheng; Tsai, Chih-Ling: Testing covariates in high-dimensional regression (2014)
  18. Li, Huiqiong; Wu, Liucang: Joint modeling of location and scale parameters of the skew-normal distribution (2014)
  19. O’Sullivan, Finbarr; Muzi, Mark; Mankoff, David A.; Eary, Janet F.; Spence, Alexander M.; Krohn, Kenneth A.: Voxel-level mapping of tracer kinetics in PET studies: a statistical approach emphasizing tissue life tables (2014)
  20. Uchida, Thomas; Vyasarayani, C.P.; Smart, Michael; McPhee, John: Parameter identification for multibody systems expressed in differential-algebraic form (2014)

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