https://doi.org/10.1351/goldbook.11517
The standard error of the errors or residuals, observed minus calculated, from a computational model: \[{\rm{SEE}} = \sqrt \frac{\sum (Y_{o} - Y_{c})^{2}}{n}\] in which \(Y_{o}\) is the observed value of \(Y\), \(Y_{c}\) is the calculated value of \(Y\), and \(n\) is the number of observations.
Note: Sometimes also labeled root mean square deviation (RMSD).
See also: standard errors of predictions