Even reducing the command to less variables than observations I still get:
set.cor(y = (66:76), x = c(1:6), z = 65, data = dat5)
Error in solve.default(x.matrix, xy.matrix) :
Lapack routine dgesv: system is exactly singular: U[2,2] = 0
On Mon, Sep 1, 2014 at 12:25 PM, David L Carlson wrote:
[R] Correlation Matrix with a Covariate
Even reducing the command to less variables than observations I still get:
set.cor(y = (66:76), x = c(1:6), z = 65, data = dat5)
Error in solve.default(x.matrix, xy.matrix) :
Lapack routine dgesv: system is exactly singular: U[2,2] = 0
On Mon, Sep 1, 2014 at
Thanks for including your data with dput(). I'm not familiar with set
correlation, but altogether you are working with 76 variables (columns) and
only 46 observations. Since the error message says "the system is exactly
singlular," it is likely that you have too many variables for the number of
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