Nice to meet you Brian. The question is about the numbers that appears 
after lambda (0,0, 0.1, 0.0001). I know that seq is a set of values used 
for testing which value fits best. But I'm not sure if I need to put 
whatever I think or what. I tried also with a set of 5 values and I get 
an error. Is there a maximum allowed?

plot(lm.ridge(hipcenter ~ .,seatpos, lambda = seq(0,0.1,0.001)))
select(lm.ridge(hipcenter ~ ., seatpos,lambda = seq(0,0.1,0.001)))

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Prof Brian Ripley wrote:
> What do you mean by 'the sequence option'?
>
> The authot of lm.ridge
>
> On Wed, 7 May 2008, Rodrigo Briceño wrote:
>
>> Dear R users. I have a doubt about the use of the sequence option on
>> Ridge regression. I'm trying to understand the use of this option when
>> variables are highly linear correlated. I'm running a model where the
>> variables HtShoes and Ht have high VIF values. My program is written
>> below, but I'm not sure about the correct way of using the sequence
>> option:
>>
>> library (faraway)
>> data (seatpos)
>> attach (seatpos)
>> spos.mod <- lm(hipcenter ~ .,seatpos) summary (spos.mod)
>> library(MASS)
>> lm.ridge(hipcenter ~ .,seatpos)
>> plot(lm.ridge(hipcenter ~ .,seatpos, lambda = seq(0,0.1,0.001)))
>> select(lm.ridge(hipcenter ~ ., seatpos,lambda = seq(0,0.1,0.001)))
>>
>> Any advice will be appreaciated. Rodrigo B.
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide 
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>

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