There is something very wrong in your data set. You appear to have two
distinct observations of your variables and these are continuously repeated
throughout the sample.
On 9 Jul 2015 18:26, "Bert Gunter" wrote:
> I do know nothing about what you are specifically doing (!!) but...
>
> In general,
I do know nothing about what you are specifically doing (!!) but...
In general, R uses factors and contrasts not dummy variables to handle
categorical variables in (linear) models, so it might be that your
dummy variable representation is what causes the singularity. If so,
do a web search on "con
-help@r-project.org
Betreff: [R] ca.jo function, urca package, singular matrix problem
Hi, I am trying to run a cointegration test with a dummy variable using
`*ca.jo*` function in `*urca*` package.
*johcoint=ca.jo(Ydata[10:60,1:5],type="trace",ecdet=c("const"),K=2,spec="
Hi, I am trying to run a cointegration test with a dummy variable using
`*ca.jo*` function in `*urca*` package.
*johcoint=ca.jo(Ydata[10:60,1:5],type="trace",ecdet=c("const"),K=2,spec="transitory",dumvar=dumvar)
*
`*dumvar*` is the binary variable that take 1 and 0 only. the first two
observatio
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