Hello everyone,
I have been analyzing dietary pattern data obtained via FFQ. We performed
Principal Component Analysis and decided to extract 3 dimensions (healthy,
unhealthy and mixed diet) and to adjust this in linear regression model
along with various other variables. However, our statistician was not happy
with the approach because the 3 dimensions we adjust do not have a measure.
So, I would like to classify the patients in our dataset using the PCA
results. Is it possible to classify all the patients into one of the 3
groups mentioned above?
Thank you
Vinay