That's solved.
Just a cor between X and ti values.
Thank you all.
2011/12/5 zz dd
> Thank's Pedro Madrones,
> you're right that i have removed my name of the email (because of Spam,
> and datas that i can't remove on the net).
> Ok, i explain a bit more :
>
> X is a centred matrix.
> PCA summar
Thank's Pedro Madrones,
you're right that i have removed my name of the email (because of Spam, and
datas that i can't remove on the net).
Ok, i explain a bit more :
X is a centred matrix.
PCA summarise all variation of X into a few new variables called scores
T.These new variables are linearly we
Perhaps you can try the examples given in
http://www.jstatsoft.org/v18/i02 for getting a better idea about how
the NIPALS algorithm works. BTW, yes,it looks like a homework question
specially when your user name is "zz dd " so you
can't be recognized.
On Mon, Dec 5, 2011 at 9:27 AM, zz dd wrote
Thank you for your brevity you don't have to say more things to show who
you are.
Else if you don't understand what we are talking about, you shouldn't be
rude and insulting.
May be you are quite young please take time to read Nonaka and Takeuchi and
moreover Takanashi to uderstand the way to go f
This is not a homework help list.
---
Jeff NewmillerThe . . Go Live...
DCN:Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#..
Hello
The solution maybe there but i need to compute it into R if someone can
help me :
(Previously store score vector t in score matrix T; store loading vector p
in loading matrix P) that's done by nipals in chemometrics
After use of nipals function you have T and P matrix
First : "Calculate the
zz dd:
If you want a typical score plot, say PC1 vs PC2, then plot the first and
second columns of your score matrix (T) against each other and label the points
with the row names (if available) or create a text label from where ever you
have this information stored. To get an unlabeled score
Hello
i need some precision about nipals in the chemometrics package in R .
When i use nipals in chemometrics i obtain T and P matrix.
I really don't understand what to do with these two matrix to obtain
the scores for every the component (like in spss fo example)
Comp1Comp2 C
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