Dear Roland and Carlos, There are some examples in my R and S-PLUS Companion to Applied Regression; the data sets are in the car package.
I hope this helps, John ------------------------------ John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On > Behalf Of Roland Rau > Sent: May-30-08 10:35 AM > To: Carlos López > Cc: r-help@r-project.org > Subject: Re: [R] Datasets in R > > Hi Carlos, > > Carlos López wrote: > > I´m trying to find datasets that will give me residuals, after applying > > the lm function, with no normality, non linearity, and heteroscedacity > > so I can try to exemplify > > those cases in the linear regression model. Can you give any advice on > > what datasets would be appropiate? I can´t use the ones in the alr3 > > package because those have > > already been seen in class. > > > > Thank you very much :-) > > natorro > > > > if you don't want to simulate your own data, you might have a look at > the NIST Reference Datasets > http://www.itl.nist.gov/div898/strd/ > > I hope this help? > Roland > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
