Good morning,
I want to make a linear regression of a variable fuction of two variables y =
a1 x1 + a2 x2 + c
I found the function lm (y ~ x) but it used for a simple linear regression,
but for multiple regression i do not know which function do this!!
Can you help me please!!
Thank you in advance
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pls use lm(y ~ x1+x2) 2009/8/21 Inchallah Yarab <inchallahyarab at yahoo.fr>:> Good morning, > > I want to make a linear regression of a variable?fuction of ?two variables y = a1 x1 + a2 x2 + c > > I found the function lm (y ~ x)? but it used ?for a simple linear regression, but for ?multiple regression i do not know which function do this!! > > ?Can you help me please!! > > Thank you in advance > > > > ? ? ? ?[[alternative HTML version deleted]] > > > ______________________________________________ > R-help at 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. > >-- HUANG Ronggui, Wincent PhD Candidate Dept of Public and Social Administration City University of Hong Kong Home page: http://asrr.r-forge.r-project.org/rghuang.html
Ronggui Huang wrote:> pls use lm(y ~ x1+x2)and perhaps have a look at chapter 11 in the Introduction to R manual which you will probably find right there already on your computer. Peter Ehlers> > 2009/8/21 Inchallah Yarab <inchallahyarab at yahoo.fr>: >> Good morning, >> >> I want to make a linear regression of a variable fuction of two variables y = a1 x1 + a2 x2 + c >> >> I found the function lm (y ~ x) but it used for a simple linear regression, but for multiple regression i do not know which function do this!! >> >> Can you help me please!! >> >> Thank you in advance >> >> >> >> [[alternative HTML version deleted]] >> >> >> ______________________________________________ >> R-help at 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. >> >> > > >