hi: sorry to bother you all again. I am running a simple lm(y~x+z) regression, in which some of the observations are missing. Unfortunately, the residuals vector from the lm object omits all the missing values, which means that I cannot simply do residual diagnostics (e.g., plot(y,x)). Would it not make more sense to have the residuals propagate the missing values, so that the residuals are guaranteed to have the same length as the variables? Alternatively, maybe the residuals() function could do this instead. But the documentation is not clear:
Methods can make use of 'naresid' methods to compensate for the
omission of missing values. The default method does.How? I have figured out how to write my own function to do what I need (using the names of the residuals object), so this is more a "how to properly do this?" question, and/or "suggestion for improved documentation" than it is a desparate need of mine.
sincerely, /iaw
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