<s>
Response	B-Algorithm
modeling	I-Algorithm
methodology	I-Algorithm
(	O
RMM	O
)	O
is	O
a	O
general	O
platform	O
for	O
statistical	O
modeling	O
of	O
a	O
linear/nonlinear	O
relationship	O
between	O
a	O
response	O
variable	O
(	O
dependent	O
variable	O
)	O
and	O
a	O
linear	O
predictor	O
(	O
a	O
linear	O
combination	O
of	O
predictors/effects/factors/independent	O
variables	O
)	O
,	O
often	O
denoted	O
the	O
linear	B-General_Concept
predictor	I-General_Concept
function	I-General_Concept
.	O
</s>
<s>
Once	O
it	O
had	O
been	O
realized	O
that	O
INT	O
models	O
may	O
be	O
perceived	O
as	O
special	O
cases	O
of	O
a	O
much	O
broader	O
general	O
approach	O
for	O
modeling	O
non-linear	O
monotone	O
convex	O
relationships	O
,	O
the	O
new	O
Response	B-Algorithm
Modeling	I-Algorithm
Methodology	I-Algorithm
had	O
been	O
initiated	O
and	O
developed	O
(	O
Shore	O
,	O
2005a	O
,	O
2011	O
and	O
references	O
therein	O
)	O
.	O
</s>
<s>
The	O
linear	B-General_Concept
predictor	I-General_Concept
function	I-General_Concept
,	O
LP	O
(	O
denoted	O
η	O
)	O
:	O
where	O
 { X1 , ... , Xk } 	O
are	O
regressor-variables	O
(	O
“	O
affecting	O
factors	O
”	O
)	O
that	O
deliver	O
systematic	O
variation	O
to	O
the	O
response	O
;	O
</s>
<s>
Subsequently	O
,	O
as	O
the	O
new	O
Response	B-Algorithm
Modeling	I-Algorithm
Methodology	I-Algorithm
(	O
RMM	O
)	O
had	O
been	O
emerging	O
and	O
developing	O
into	O
a	O
full-fledged	O
platform	O
for	O
modeling	O
monotone	O
convex	O
relationships	O
(	O
ultimately	O
presented	O
in	O
a	O
book	O
,	O
Shore	O
,	O
2005a	O
)	O
,	O
RMM	O
properties	O
were	O
explored	O
(	O
Shore	O
,	O
2002b	O
,	O
2004a	O
,	O
b	O
,	O
2008a	O
,	O
2011	O
)	O
,	O
estimation	O
procedures	O
developed	O
(	O
Shore	O
,	O
2005a	O
,	O
b	O
,	O
2012	O
)	O
and	O
the	O
new	O
modeling	O
methodology	O
compared	O
to	O
other	O
approaches	O
,	O
for	O
modeling	O
random	O
variation	O
(	O
Shore	O
2005c	O
,	O
2007	O
,	O
2010	O
;	O
Shore	O
and	O
A’wad	O
2010	O
)	O
,	O
and	O
for	O
modeling	O
systematic	O
variation	O
(	O
Shore	O
,	O
2008b	O
)	O
.	O
</s>
