Sure thing! Here's one possible way to reorder the parameters in the dictionary by likeness:

vertical_parameters = {
'vs30': vs30,
'z10': z10,
'z25': z25,
'ztor': ztor,
'zbor': zbor,
'dip': dip,
'ftype': ftype,
'mre_period': mre_period,
'regionflag': regionflag,
'hwflag': hwflag,
'u': u,
'hwtaper': hwtaper,
'fas': fas,
'fmeasured': fmeasured,
'fhw': fhw,
'frv': frv,
'fnm': fnm,
'w': w,
}

In this reordering, the parameters are grouped based on their similarity or relatedness. The first group includes the parameters related to the site conditions (vs30, z10, z25), followed by the parameters related to the source (ztor, zbor, dip, ftype, mre_period), and then the parameters related to the attenuation relationship (regionflag, hwflag, u, hwtaper, fas, fmeasured, fhw, frv, fnm). The last parameter, 'w', is placed at the end since it doesn't fit neatly into any of these groups.

I hope this helps! Let me know if you have any other questions.
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