Displaying 4 results from an estimated 4 matches for "konditionszahl".
2011 Jun 12
3
Running a GMM Estimation on dynamic Panel Model using plm-Package
...del="onestep")
>
>
I tried "Model" as "Modelp <- pdata.frame(..." and as "Model <-
read.table(..." but in both cases there?s an error-massage:
Error in solve.default(Reduce("+", A2)) :
System ist f?r den Rechner singul?r: reziproke Konditionszahl =
4.08048e-22
Error in solve.default(Reduce("+", A2)) :
System is singulary for the computer: reciprocal number of conditions =
4.08048e-22
I really can?t help myself since the standard plm-estimations "within" or
"first difference" are working well.
I hope you...
2012 Oct 29
1
Hausman test error solve
...ree + KantenGew + BetweennessC + SitzKappazitaet,
data=Panel,index=c("id","time"), model="random")
summary(random)
phtest(fixed, random)
I get an error from phtest(fixed, random)
Fehler in solve.default(dvcov) :
System ist f?r den Rechner singul?r: reziproke Konditionszahl = ...
Error in solve.default(dvcov) :
system is computationally singular: reciprocal condition number =...
Can someone Help me with this problem or give me a hint where to look?
Thanks
gloria
--
View this message in context: http://r.789695.n4.nabble.com/Hausman-test-error-solve-tp4647793...
2008 Dec 30
1
extend summary.lm for hccm?
...8 on 5 and 42738 DF, p-value: < 2.2e-16
> # =========================================
Now I use summaryHCCM(fit.lm.5):
> # =========================================
> summaryHCCM(fit.lm.5)
Fehler in solve.default(L %*% V %*% t(L)) :
System ist f?r den Rechner singul?r: reziproke Konditionszahl = 6.98689e-19
> # =========================================
("Error in solve.default(L %*% V %*% t(L)) :
System is singulary for the computer: reciprocal number of conditions =
6.98689e-19")
This does not happen if I omit I(x.log^5). I do not know what it means and I'd
be g...
2010 Aug 11
1
sem & psych
...psych but whatever I do to deal with models which do not
converge I always get stuck and get error messages such as these:
"Error in summary.sem(M1) : coefficient covariances cannot be computed"
"Error in solve.default(res$hessian) : System ist f?r den Rechner singul?r:
reziproke Konditionszahl = 8.61916e-17"
I am aware that these models could not be computed but it is ok, itis part
of what I am trying to show with the simulation, that under specifications x
the models converge more easily than under specifications y.
When models do not converge I just let R write a string with -1s...