[R] question about dataframe ("sensory") in PLS package

[Gabor Grothendieck]

Try:

?sensory
str(sensory)
dput(sensory)
lapply(sensory, class)
lapply(sensory, dim)

to see what it looks like inside.  Seems that sensory is a data frame
consisting of two columns each of which is a matrix except that each
has a class of "AsIs".  Thus try this (where I(...) creates objects of
class "AsIs"):

mat1 <- cbind(a = 1:5, b = 11:15)
mat2 <- cbind(x = 21:25, y = 31:35)
DF <- data.frame(A = I(mat1), B = I(mat2))



On 7/30/06, jz7 at duke.edu <jz7 at duke.edu> wrote:
> Dear all,
>
> I am trying to my dataframe for the PLS analysis using the PLS package.
> However I have some trouble generating the correct dataframe. The main
> problem is how to use one name to represent several columns in the
> dataframe.
>
> The example dataframe in PLS package is called "sensory". I cannot
> directly read the data file since it's a binary file. If I use
> "names(sensory)" command, I will get two names: "Quality" and "Panel". But
> if I use "summary(sensory)" command, I will get information of five
> columns for "Quality" and 6 columns for "Panel" (such as "Quality.Acidity"
> "Quality.Peroxide"...). So when I use PLS regression, the function is
> simply "Panel ~ Quality" (but it's actually multiple regression).
>
> Does anyone know how to build such dataframe? Please share some
> experience. Really appreciate the help!
>
> Sincerely,
> Jeny
>
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