Hi Antonio,
I've just sent an e-mail to the r-help list with some R code which shows that the standard errors of the fitted values are indeed computed incorrectly by R (please see below). Let's hope that there will be at least one helpful answer to the question. Best, Isabella On Tue 16/09/14 3:06 PM , isabe...@ghement.ca sent: Hi everyone, Could there be an error in the predict() function in R for models without intercepts which include one or more predictors? When using the predict() function to obtain the standard errors of the fitted values produced by a linear model (lm), the behaviour of the standard errors seems to mirror that of models which include an intercept (which should not happen). Here is an attempt to produce standard errors (and hence confidence bands) for the fitted values in a linear model with a single predictor and no intercept using R code: ## simulate a response y and two predictors x and z x [[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.