An NLS fit provides the best relation by relation fit. For each provided relationship, an NLS fit is computed and used to estimate the predicted V,TW,Y for a given Q. If the actual value is outside the specified allowance it is removed.
Arguments
- df
a data.frame with at least a Q and one other AHG field (Y. TW, V).
- allowance
how much deviation from observed should be allowed (default = .5)
See also
Other filters:
date_filter(),
mad_filter(),
qva_filter(),
significance_check()