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2009 May 19
4
nlrwr package. Error when fitting the optimal Box-Cox transformation with two variables
Dear all:
I'm trying to fit the optimal Box-Cox
transformation related to nls (see the code
below) for the demand of money data in Green (3th
Edition) but in the last step R gives the next
error message.
Error en
`[.data.frame`(eval(object$data), ,
as.character(formula(object)[[2]])[2]) :
undefined columns selected.
?Any idea to solve the problem?
Thanks in advance,
2011 Nov 11
1
Fwd: Use of R for VECM
...sjd.vecm1 <- ca.jo(sjd, ecdet='const', type="eigen", K=3, spec="longrun",
+ season=4)
> sjd.vecm2 <- ca.jo(sjd, ecdet='const', type="eigen", K=3, spec="transitory",
+ season=4)
> sjd.vecm.ols1 <- cajools(sjd.vecm1)
> sjd.vecm.ols2 <- cajools(sjd.vecm2)
> summary(sjd.vecm.ols1)
Response Y.d :
Call:
lm(formula = substitute(Y.d), data = data.mat)
Residuals:
Min 1Q Median 3Q Max
-0.0049787 -0.0012948 0.0000703 0.0009653 0.0063192
Coefficients:
Estimate Std. Error t value...
2009 Mar 25
3
very fast OLS regression?
Dear R experts:
I just tried some simple test that told me that hand computing the OLS
coefficients is about 3-10 times as fast as using the built-in lm()
function. (code included below.) Most of the time, I do not care,
because I like the convenience, and I presume some of the time goes
into saving a lot of stuff that I may or may not need. But when I do
want to learn the properties of an