Skip to content

How to get intecerpt standard error in PLS

4 messages · Jeff Newmiller, arunkumar1111, Claudia Beleites

#
Hi

This is my data present in a file

Year Y X2 X3 X4 X5 X6
1960 27.8 397.5 42.2 50.7 78.3 65.8
1960 29.9 413.3 38.1 52 79.2 66.9
1961 29.8 439.2 40.3 54 79.2 67.8
1961 30.8 459.7 39.5 55.3 79.2 69.6
1962 31.2 492.9 37.3 54.7 77.4 68.7

my formula for using PLS
fit1 <- mvr(formula=Y~X1+X2+X3+X4, data=Dataset, comp=4) 

using the formula 

x=jack.test(fit1, ncomp = components)
y <- coef.mvr(fit1,components,intercept=TRUE)

from y i 'm able to get the intercepts but only from x i'm able to get the
standard errors ans p-values

How to get the p-values and standard error for intercepts



--
View this message in context: http://r.789695.n4.nabble.com/How-to-get-intecerpt-standard-error-in-PLS-tp3932104p3932299.html
Sent from the R help mailing list archive at Nabble.com.
#
Am 24.10.2011 09:07, schrieb Jeff Newmiller:
I think the answer is just along the lines of Bj?rn-Helge Mevik's answer 
to your previous question.

That being said, maybe you could report the variation (std. dev, IQR, 
...) of the intercept observed during bootstrap or iterated (repeated) 
cross validation/jackknife instead of the standard error.

Claudia