ed ▁in ▁different ▁discipl ines ▁and ▁is ▁various ly ▁known ▁as ▁standard ised ▁major ▁axis ▁( R icker ▁ 1 9 7 5 , ▁W art on ▁et ▁al ., ▁ 2 0 0 6 ), ▁the ▁reduced ▁major ▁axis , ▁the ▁geometric ▁mean ▁functional ▁relationship ▁( Dra per ▁and ▁Smith , ▁ 1 9 9 8 ), ▁least ▁products ▁regression , ▁diagonal ▁regression , ▁line ▁of ▁organ ic ▁correlation , ▁and ▁the ▁least ▁areas ▁line ▁( T of all is , ▁ 2 0 0 2 ). ▁T of all is ▁( 2 0 1 5 ) ▁has ▁extended ▁this ▁approach ▁to ▁deal ▁with ▁multiple ▁variables . ▁ ▁See ▁also ▁▁ ▁Dem ing ▁regression , ▁a ▁special ▁case ▁with ▁two ▁predict ors ▁and ▁independent ▁errors . ▁ ▁Error s - in - variables ▁model ▁ ▁Linear ▁regression ▁ ▁Le ast ▁squares ▁ ▁Notes ▁ ▁References ▁ ▁O thers ▁ ▁I . ▁H ně t yn k ová , ▁M . ▁Ple š inger , ▁D . ▁M . ▁S ima , ▁Z . ▁Stra ko š , ▁and ▁S . ▁Van ▁H uff el , ▁The ▁total ▁least ▁squares ▁problem ▁in ▁A X ▁ ≈ ▁B . ▁A ▁new ▁classification ▁with ▁the ▁relationship ▁to ▁the ▁classical ▁works . ▁S IMA X ▁vol . ▁ 3 2 ▁issue ▁ 3 ▁( 2 0 1 1 ), ▁pp .   7 4 8 – 7 7 0 . ▁Av ailable ▁ ▁as ▁a ▁pre print . ▁ ▁M . ▁Ple š inger , ▁The