Variable selection with principal components analysis
26181
Using principal component analysis (PCA) for feature selection
118753
Is feature selection with dummy coding of categorical variables problematic?
36891
Properties of logistic regressions
138225
Nested cross validation for model selection
36609
Creating a single index from several principal components or factors retained from PCA/FA
27143
Detecting significant predictors out of many independent variables
144918
Lasso features selection through Crossvalidation
116179
Is principal component regression (PCR) using principal component scores for regression?
112134
What are principal component scores?
104236
Factor analysis and regression
53330
Lasso and statistical signficance of selected variables
25539
Algorithms for automatic model selection
41608
Weighted principal components analysis
44881
Using lasso for feature selection, followed by a non-regularized regression
104882
Relative importance of a set of predictors in a random forests classification in R
78618
Selecting best model based on linear, quadratic and cubic fit of data
78310
Best factor extraction methods in factor analysis