Thanks once again. Here's what i want to do: dataset 1= 750 people, PC Analysis showed three major components and i want to use the values of these PCAs in my analysis. dataset 2= 200 people, it has variables that want to regress the PCAs (gotten from dataset 1 ) against Simple regression model; Y= Beta* X So here; Y (outcome variable in dataset 2) = Beta * PCA1 (where PCA1 is the first component obtained in dataset 1) and i will repeat the same thing for PCA2, PCA3. The problem: Merging dataset 1 and dataset 2 by Subject ID will reduce the sample size. So If i had to redo a PCA using the merged dataset (dataset that has both dataset1 and dataset2 by subject ID), the variance of the PCA on this merged dataset will reduce. Question: How do i keep the PCAs obtained in dataset 1, so that i can use them in the merged dataset for regression analysis.
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