Timeline for PCA and scree plot and slope
Current License: CC BY-SA 4.0
8 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Aug 27, 2023 at 15:33 | comment | added | user392987 | thanks, Peter. greatly appreciated :) | |
Aug 27, 2023 at 15:23 | comment | added | Peter Flom | That's correct. | |
Aug 27, 2023 at 15:11 | comment | added | user392987 | thank you Peter. Long story short, when you have correlated variables, one option is to use the pca other than dropping redundant variables or use AIC/BIC. Then, you now have orthogonal variables as well as PCs are orthogonal. Can you please confirm this? thx | |
Aug 27, 2023 at 12:14 | comment | added | Peter Flom | Yes. PCs (at least if you do orthogonal rotation) are not correlated and can't be colinear. But they may not be the best solution to the problem of collinearity. I think it is rare for them to be the best solution. | |
Aug 27, 2023 at 2:48 | comment | added | user392987 | thank you , Peter. I have one question: you know all PC are not correlated with one another and using PCs can mitigate the issue of collinearity. all PC are not correlated with one another --> PC1 and PC2 are independent of each other (no correlation) using PCs can mitigate the issue of collinearity --> PC is not a linear combination of other x's. can you please confirm my interpretation is correct? thanks in advance | |
Aug 26, 2023 at 23:09 | comment | added | Peter Flom | Correlation is a measure of the linear relationship between two continuous variables. Collinearity is a measure of how close one variable is to being a linear combination of other variables. You can have low correlations among all variables and still have collinearity (if one variable is a sum of a bunch of uncorrelated variables). And you can have collinearity among categorical variables. | |
Aug 26, 2023 at 18:54 | comment | added | user392987 | Thank you Peter for the detailed answer. CAn you please explain the difference between correlation and collinearity? Having a hard time differentiating the two | |
Aug 26, 2023 at 18:42 | history | answered | Peter Flom | CC BY-SA 4.0 |