I'm working with a linear model with four factors as explicatory variables, being all of them significally (e.g. y ~ a + b + c + d). I thought that the residuals of a linear model keep the variance not explained by the model, so if I use my model with just three factors (y ~ a + b + c) and keep the residuals is expected that in a new model with the residuals as dependent variable and the four factor as independent (residuals ~ d) that factor (d) will be significally. Is that truth or not?
----- Manuel Ramón Fernández Group of Reproductive Biology (GBR) University of Castilla-La Mancha (Spain) [EMAIL PROTECTED] -- View this message in context: http://www.nabble.com/Residuals-from-a-linear-model-tp20556033p20556033.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
