Displaying 5 results from an estimated 5 matches for "ordinare".
Did you mean:
ordinary
2002 May 18
0
Importante!
.... Tutto accuratamente tradotto o scritto direttamente in italiano. (N. B. Ci? che riceverai ti sar? utile anche fuori dal Sistema e nella vita di tutti i giorni!).
Ora segui attentamente le istruzioni che ti porteranno a tuo sicuro Successo.
Prepara 5 buste da lettera e 5 banconote da 5 euro per ordinare i 5 utili e preziosi Report fondamentali per il Successo del Sistema. Per il TUO Successo!
Per qualsiasi ragione, non spedire MAI moneta, solo banconote, altrimenti dovrai pagare una tariffa postale maggiore, dovuta al peso. Per evitare che i soldi spediti vengano intercettati e rubati, da due ann...
2003 Feb 27
1
NA in dummy regression coefficients
Hi
I'm doing a regression analysis with dummy variables and I'm getting NA
for some coefficients. I've inspected residuals, leverage effects and
Cook's distance and it seems ok.
Can someone explains what can cause this problem ?
Thanks
EJ
2004 Jul 15
2
formula and lm
Hi, don' t understand why the function fomula have this error, i enclose
the parameter "a" with the function I()
Thank Ruben
x<-1:5
y<-c( 2 ,4 , 6 , 8 ,11)
formu<-y~I(a*x)
form<-formula(formu)
dummy<-data.frame(x=x,y=y)
fm<-lm(form,data=dummy)
Error in unique(c("AsIs", oldClass(x))) : Object "a" not found
2010 Sep 03
0
Pointer to fourteen patches to speed up R
I've continued to work on speeding up R, and now have a collection of
fourteen patches, some of which speed up particular functions, and
some of which reduce general interpretive overhead. The total speed
improvement from these patches is substantial. It varies a lot from
one R program to the next, of course, and probably from one machine to
the next, but speedups of 25% can be expected in
2010 Sep 03
1
Fourteen patches to speed up R
I've continued to work on speeding up R, and now have a collection of
fourteen patches, some of which speed up particular functions, and
some of which reduce general interpretive overhead. The total speed
improvement from these patches is substantial. It varies a lot from
one R program to the next, of course, and probably from one machine to
the next, but speedups of 25% can be expected in