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An R package containing tools for linear fitting of complex variables. Includes ordinary least squares and M-estimator robust functions.

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QuantumOfMoose/complexlm

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Software and datasets to support 'Modern Applied Statistics with S', fourth edition, by W. N. Venables and B. D. Ripley.Springer, 2002.From the text (pp. 464):    These datasets and software are provided in good faith, but none of    the authors, publishers nor distributors warrant their accuracy    nor can be held responsible for the consequences of their use.This file is intended to clarify ownership and copyright: wherepossible individual files also carry brief copyright notices. Copyrights==========File MASS/R/profiles.R copyright (C) 1996 D. M. Bates and W. N. Venables.                       port to R by B. D. Ripley copyright (C) 1998                       corrections copyright (C) 2000,3,6 B. D. RipleyOur understanding is that the dataset files MASS/data/*.rda are not copyright.All other files are copyright W. N. Venables and B. D. Ripley. Thoseparts which were distributed with the first edition are also copyright(C) 1994 Springer-Verlag New York Inc, with all rights assigned toW. N. Venables and B. D. Ripley.Licence=======    This is free software; you can redistribute it and/or modify    it under the terms of the GNU General Public License as published by    the Free Software Foundation; either version 2 or 3 of the License    (at your option).    This program is distributed in the hope that it will be useful,    but WITHOUT ANY WARRANTY; without even the implied warranty of    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the    GNU General Public License for more details.Files share/licenses/GPL-2 and share/licenses/GPL-3 in the R(source or binary) distribution are copies of versions 2 and 3of the 'GNU General Public License'.These can also be viewed athttps://www.r-project.org/Licenses/Bill.Venables@gmail.comripley@stats.ox.ac.uk

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An R package containing tools for linear fitting of complex variables. Includes ordinary least squares and M-estimator robust functions.

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