How to calculate MSE or RMSE of data points in 3D space?

I have 5 datasets, each contains 1000 points in 3D space (x,y,z). A marker moved around in the 3D space around a center ((x0, y0,z0) and we collected 1000 points for a period of time. Now I want to estimate the error/variability/etc in each dataset and between datasets. I am thinking to use either MSE or RMSE approaches to evaluate this error. Is there a function or toolbox that can help me achieve this?

I'd also love to listen to more ideas about comparing 5 datasets's trajectories!

Thanks everyone! :)

Answer 1

[KSSV]

https://in.mathworks.com/matlabcentral/answers/4064-rmse-root-mean-square-error