Mar 21, 2016 · Implement PCA in R & Python (with interpretation) How many principal components to choose ? I could dive deep in theory, but it would be better to answer these question practically. For this demonstration, I’ll be using the data set from Big Mart Prediction Challenge III. Remember, PCA can be applied only on numerical data.
To use the forecast.HoltWinters() function, we first need to install the “forecast” R package (for instructions on how to install an R package, see How to install an R package). Once you have installed the “forecast” R package, you can load the “forecast” R package by typing:
According to PCA Predict’s research, inaccurate address data collection is the primary reason as to why orders do not arrive on time. To counter the issues caused by incorrect address data, retailers should implement verification solutions to ensure customers provide data that is as accurate as possible.