centerscale
centerscale refers to a computational approach or methodology used in various fields, particularly in data analysis and scientific computing. It involves scaling data to a central point, often the mean or median, and then dividing by a measure of spread, such as the standard deviation or interquartile range. This process standardizes the data, making it easier to compare different variables or datasets that may have vastly different scales and units.
The primary goal of centerscaling is to transform data so that it has a mean of zero
In statistical modeling, centerscaling can also help in interpreting model coefficients, as they represent the change