There is definitely a difference. The pcr program is Principal Component
Regression, but document says
"The formula argument should be a symbolic formula of the form response ~
terms, where response is the name of the response vector or matrix (for
multi-response models) and terms is the name of
You need to provide an 'str(yarn)' so we can see what the structure is. I
don't know what the 'pcr' program is expecting, but it looks like from what
you have provided that 'yarn' might be a dataframe and "X" is a vector.
Look at the documentation for pcr and see what it expects.
On Mon, May 10,
Jim - thanks.
It worked, however pcr program is still not accepting it there is a
sample yarn data loaded and I am comparing. My data looks like this
X1 X2 X3 X4 X5 X6 X7
X8 X9 X10 X11 X12 X13 X14 X15 X16 X17
1K
Is this what you want:
> x <- paste("X", 1:10, sep='')
> x
[1] "X1" "X2" "X3" "X4" "X5" "X6" "X7" "X8" "X9" "X10"
> sub("X", "X.", x)
[1] "X.1" "X.2" "X.3" "X.4" "X.5" "X.6" "X.7" "X.8" "X.9" "X.10"
>
On Mon, May 10, 2010 at 8:53 PM, Ravi Ramaswamy wrote:
> Hi - a newbie qu
Hi - a newbie question, if someone can please help
I want to change X1, X2,,.to X.1 X.2 etc in the names below. I am using
the Principal Component Regression function (pcr) and it seems to want it
this way
> datap3.pcr <- pcr(water ~ X, 10, data = datap3, Validation ="cv")
Error in mode
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