[R] RE : multiple regressions on columns

GOUACHE David D.GOUACHE at arvalisinstitutduvegetal.fr
Wed Feb 25 09:56:25 CET 2009

Hello and thanks for your reply, but as you said, this is not really what I'm trying to do.
My purpose is not one of variable selection within a model with multiple predictors, but simply fitting a large number of models with only one predictor.
I was just hoping there would be a solution as simple as the one given in my example which gives the results of many regression models of the type Yi~x where i spans all the colums in a matrix and x is one predictor. My objective being the fitting of many regression models of the type y~Xi where i spans all the columns in a matrix and y is one dependent variable.

Best regards,

David Gouache
ARVALIS - Institut du végétal
Station de La Minière
78280 Guyancourt
Tel: / Port:

-----Message d'origine-----
De : Greg Snow [mailto:Greg.Snow at imail.org] 
Envoyé : mardi 24 février 2009 18:22
À : GOUACHE David; r-help at stat.math.ethz.ch
Objet : RE: multiple regressions on columns

The add1 function might be what you want, there is also addterm in the MASS package and the leaps package can do some things along this line (plus more).

But before doing this, you may want to ask yourself what question you are really trying to answer, then explore if this answers that question or not.

Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of GOUACHE David
> Sent: Tuesday, February 24, 2009 10:13 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] multiple regressions on columns
> R-helpers,
> A quick question regarding my wanting to run multiple regressions
> without writing a loop.
> Looking at a previous discussion :
> http://tolstoy.newcastle.edu.au/R/e2/help/07/02/9740.html
> my objective is to do the "opposite", i.e. instead of having the same
> independent variable and testing it against multiple dependent
> variables, my goal is to test multiple independent variables against
> the same dependent variable.
> Using the iris dataset:
> iris4 <- as.matrix(iris[,-c(1,5)])
> summary(lm(iris4 ~ Sepal.Length, iris))
> what I would have liked is to do the following :
> summary(lm(Sepal.Length ~ iris4, iris))
> and obtain the results from 3 separate regressions, as above, instead
> of one multiple regression...
> Any clues ?
> Tanks in advance
> David Gouache
> ARVALIS - Institut du végétal
> Station de La Minière
> 78280 Guyancourt
> Tel: / Port:
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