Is it valid to include additional predictors into principal component regression?
93145
Can I add several additional variables to my principal component regression?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
154261
PCA when the dimensionality is greater than the number of samples
129782
How can you have a non-significant multiple regression model w/ significant predictors?
118685
When do we use a multivariate regression?
36477
Is there any required amount of variance captured by PCA in order to do later analyses?
142959
Do we still need to do feature selection while using Regularization algorithms?
58017
When is it necessary to estimate the covariance matrix instead of calculating it directly?
109955
regression models and dummy variables
82178
Does it make sense to combine PCA and LDA?
39879
Should I remove non-significant variables from my regression model
126886
Do the principal components change if we apply PCA more than once (recursively) on data?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
36565
Box-Cox transformation vs. predictor transformation in multiple linear regression
92434
Hat matrix and leverages in classical multiple regression