How to do regression model selection if dummy variables are involved?
42578
If a factor variable is to be dropped in model selection, should all levels be dropped simultaneously? If so, why?
156489
Why do we need to dummy code categorical variables
68045
Explicit solution for linear regression with two predictors
130496
How do I fit a constrained regression in R so that coefficients total = 1?
33843
Assumption Of Linear Regression
139824
Include prior knowledge in regression model
93145
Can I add several additional variables to my principal component regression?
118685
When do we use a multivariate regression?
2138
Modelling when the dependent variable has a "cut-off"
118753
Is feature selection with dummy coding of categorical variables problematic?
21979
Feature selection for "final" model when performing cross-validation in machine learning
3013
Why does the Lasso provide Variable Selection?
132863
How do I interpret the results of a regression which involves interaction terms?
9757
Logistic regression with binary dependent and independent variables
8751
Before running a ridge regression model, do I need to preform variable selection?
63498
How to split r-squared between predictor variables in multiple regression?
157122
How can factor-levels be automatically chosen in R to maximize the number of positive coefficients in a regression model?