Bootstrap (correlated resampling)

Generates new rows by resampling, optionally inducing a requested rank correlation between variables while preserving each variable’s distribution (its marginal). You nominate a reference variable and one or more drivers that should correlate with it, and set the target correlation for each. This is useful for simulations, teaching, and power/what-if exploration. Because it draws random values, set up your analysis to expect sampling variation.