I'm trying to perform variable selection methods on a small data set (approximately 100 observations with 14 predictors each). Is there any way to increase the sample size with bootstrapping? Are there any methods for bootstrapping multivariate data? If so, what are the concerns about bootstrapping multivariate data to increase sample size and how can I generate this data in R or Python?
Solved – Increasing sample size of multivariate data with bootstrapping
bootstrappythonrsample-sizesmall-sample
Best Answer
How to e.g. bootstrap lines of a multivariate data set $X$: