[R] Problems using log() in a plm() regression.

2013-06-17 Thread Millo Giovanni
se it in 'plm(fm, data=mydata)' etc.. It is also best to use spacings, indentation, etc. to avoid messing things up. Best Wishes, Giovanni # original message ## ------ Message: 42 Date: Sun, 16 Jun 2013 09:05:30 +0200 From: "Guylaine NOU

Re: [R] Problems using log() in a plm() regression.

2013-06-16 Thread Milan Bouchet-Valat
Le dimanche 16 juin 2013 à 09:05 +0200, Guylaine NOUWOUE a écrit : > Hello, > > I am performing a panel model and I have an error. In fact, I would like to > set up the pooling model and I have an error message. Any help > > >pool jt+langueij+histoireij+infrasij+frontiereij+simijt+enclaviit,data=

[R] Problems using log() in a plm() regression.

2013-06-16 Thread Guylaine NOUWOUE
Hello, I am performing a panel model and I have an error. In fact, I would like to set up the pooling model and I have an error message. Any help >pool__ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read

[R] R: Problems using log() in a plm() regression.

2011-11-23 Thread Millo Giovanni
" counterpart is lme() from 'nlme'. Best, Giovanni -Messaggio originale- Da: Millo Giovanni Inviato: martedì 22 novembre 2011 13.14 A: 'steiner-man...@web.de' Cc: r-help@r-project.org Oggetto: [R] Problems using log() in a plm() regression. Hello Manuel. Yes please

[R] Problems using log() in a plm() regression.

2011-11-22 Thread Millo Giovanni
o, PhD Research Dept., Assicurazioni Generali SpA Via Machiavelli 4, 34132 Trieste (Italy) tel. +39 040 671184 fax +39 040 671160 -- original message Message: 17 Date: Mon, 21 Nov 2011 04:33:13 -0800 (PST) From: ManuelS To: r-help@r-project.org Subject: [R] Problems using log() i

[R] Problems using log() in a plm() regression.

2011-11-21 Thread ManuelS
hey guys I have a panel data set that i want to perform some regressions on. I am using the /plm/ package. I defined a model in the following way: PWBw.pool <- plm(*PWB* ~ log(*I_EQON*) + log(*RD*) + ... + *PAGRI*, data = pfem, na.action=na.exclude, model="pooling") When i run this it gives the