[R] lm.influence in multivariate linear model

[Daniel Mastropietro]

Hello,
I have fitted a multivariate linear model using lm() but then I cannot 
apply any function available for diagnostics, such as lm.influence(), 
rstudent() etc. I get the following error message when calling any of the 
above functions.

"Error in lm.influence(model1) : non-NA residual length does not match 
cases used in fitting"

I have tried with two different data sets. One of them follows:

y =
     [,1] [,2]
[1,]    2    4
[2,]    1   -2
[3,]    3   -2
[4,]    0   -1

x =
     [,1]
[1,]    1
[2,]    2
[3,]    3
[4,]    4

The command for the fit is simply:
lm(y ~ x)

which runs properly.

Are the diagnostic measures only available for univariate linear models?

Thanks
Daniel Mastropietro


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