just an observation. You show mean adjusted variables. Standardised would
divide by stdevn.
Perhaps thar might account for the difference ?
But then, it's been sometime since I worked on PCA!
regards
Brian
Brian J Revell
Professor Emeritus
Agricultural and Food Economics
Harper Adams University
Newport
Shropshire
TF10 8NB
Tel 01952815237.
Sent from my Galaxy S8+
On Mon, 6 Dec 2021, 15:12 , <francesco.delledonne(a)unicredit.eu> wrote:
Dear all,
many thanks for accepting me in this thread.
I have been a student user of Grelt and now trying to grab it again for
PCA modelling in my current work.
I tried to replicate the score calculation as provided by Gretl (PC1, PC2
etc vectors that you can store and save after running the PCA command) but
i cannot seem to derive those as simply:
PC Factors = Eigenvectors * standardized original variables (x - mean).
Where am i making a mistake?
Thanks for all your wonderful contribution,
Best
Francesco
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