dimitris kapetanakis
2008-Oct-06 16:32 UTC
[R] Computationally singular [provides coefficients but not covariance matrix]
Hi, I am estimating a regression but the summary command is unable to provide me results, while the coefficients are available from the coefficients value. I suppose that it cannot estimate the covariance matrix. Is there any command that I can relax the tolerance so it can estimate the covariance matrix. The code and the error of R is: eq1<-rq(y~factor(year)+factor(state)+x1+x2+x3, tau=0.05, data=data1) summary(eq1) summary(qr.05.nox) Error in solve.default(crossprod(x)) : system is computationally singular: reciprocal condition number 4.51499e-31 Error in diag(solve(crossprod(x))) : error in evaluating the argument 'x' in selecting a method for function 'diag' Any help would be highly appreciated Thanks -- View this message in context: http://www.nabble.com/Computationally-singular--provides-coefficients-but-not-covariance-matrix--tp19841443p19841443.html Sent from the R help mailing list archive at Nabble.com.