Hello, Try the following.
#cnames <- names(tryout) # in your code, use this one cnames <- c("Volume", "Price1", "Price2", "Price3", "Price4", "Price5", "Trend", "Seasonaliy") price <- cnames[grep("Price", cnames)] resp <- cnames[1] regr <- cnames[7:8] #lm.list <- vector("list", 5) for(i in 1:5){ regress <- paste(price[i], paste(regr, collapse = "+"), sep = "+") fmla <- paste(resp, regress, sep = "~") print(fmla) #lm.list[[i]] <- lm(as.formula(fmla), data = tryout) } Hope this helps, Rui Barradas Em 26-09-2012 08:08, Krunal Nanavati escreveu: > Hi, > > > > I am trying to run many different regressions using a FOR Loop. > > > > The input data that is read into R has the following variables > > > > · Volume > > · Price1 > > · Price2 > > · Price3 > > · Price4 > > · Price5 > > · Trend > > · Seasonality > > > > I want to run 5 regressions, with the Volume as an dependent variable and > Price, Trend & Seasonality as independent variables. I have read the above > mentioned variables in a variable called "tryout" > > > > I am entering the following syntax in R > > > >> for(i in 1:5) > + { > > + result[i]=lm(Volume~Price[i]+Trend+Seasonaliy,data=tryout) > > + summary(result[i]) > > + } > > > > After running these lines...I am getting the following error message > > > > Error in eval(expr, envir, enclos) : object 'Price' not found > > > > Can someone help me out with this error message. Appreciate for your time > and consideration. > > > > > > > > Thanks & Regards, > > > > Krunal Nanavati > > Solutions Manager - Cogitaas > > 9769-919198 > > [[alternative HTML version deleted]] > > > > ______________________________________________ > 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. [[alternative HTML version deleted]]
______________________________________________ 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.