<s>
In	O
statistics	O
,	O
factor	B-Algorithm
analysis	I-Algorithm
of	I-Algorithm
mixed	I-Algorithm
data	I-Algorithm
or	O
factorial	O
analysis	O
of	O
mixed	O
data	O
(	O
FAMD	O
,	O
in	O
the	O
French	O
original	O
:	O
AFDM	O
or	O
Analyse	O
Factorielle	O
de	O
Données	O
Mixtes	O
)	O
,	O
is	O
the	O
factorial	O
method	O
devoted	O
to	O
data	O
tables	O
in	O
which	O
a	O
group	O
of	O
individuals	O
is	O
described	O
both	O
by	O
quantitative	O
and	O
qualitative	O
variables	O
.	O
</s>
<s>
Roughly	O
,	O
we	O
can	O
say	O
that	O
FAMD	O
works	O
as	O
a	O
principal	B-Application
components	I-Application
analysis	I-Application
(	O
PCA	O
)	O
for	O
quantitative	O
variables	O
and	O
as	O
a	O
multiple	B-Algorithm
correspondence	I-Algorithm
analysis	I-Algorithm
(	O
MCA	O
)	O
for	O
qualitative	O
variables	O
.	O
</s>
<s>
In	O
the	O
PCA	O
of	O
,	O
we	O
look	O
for	O
the	O
function	O
on	O
(	O
a	O
function	O
on	O
assigns	O
a	O
value	O
to	O
each	O
individual	O
,	O
it	O
is	O
the	O
case	O
for	O
initial	O
variables	O
and	O
principal	B-Application
components	I-Application
)	O
the	O
most	O
correlated	O
to	O
all	O
variables	O
in	O
the	O
following	O
sense	O
:	O
</s>
<s>
The	O
representation	O
of	O
variables	O
is	O
called	O
relationship	B-Algorithm
square	I-Algorithm
.	O
</s>
<s>
The	O
representation	O
of	O
variables	O
(	O
relationship	B-Algorithm
square	I-Algorithm
,	O
Figure	O
2	O
)	O
shows	O
that	O
the	O
first	O
axis	O
(	O
)	O
is	O
closely	O
linked	O
to	O
variables	O
,	O
and	O
.	O
</s>
