<s>
In	O
statistics	O
,	O
the	O
generalized	B-Algorithm
canonical	I-Algorithm
correlation	I-Algorithm
analysis	O
(	O
gCCA	B-Algorithm
)	O
,	O
is	O
a	O
way	O
of	O
making	O
sense	O
of	O
cross-correlation	O
matrices	O
between	O
the	O
sets	O
of	O
random	O
variables	O
when	O
there	O
are	O
more	O
than	O
two	O
sets	O
.	O
</s>
<s>
While	O
a	O
conventional	O
CCA	O
generalizes	O
principal	B-Application
component	I-Application
analysis	I-Application
(	O
PCA	O
)	O
to	O
two	O
sets	O
of	O
random	O
variables	O
,	O
a	O
gCCA	B-Algorithm
generalizes	O
PCA	O
to	O
more	O
than	O
two	O
sets	O
of	O
random	O
variables	O
.	O
</s>
<s>
The	O
Helmert-Wolf	B-Algorithm
blocking	I-Algorithm
(	O
HWB	O
)	O
method	O
of	O
estimating	O
linear	B-General_Concept
regression	I-General_Concept
parameters	O
can	O
find	O
an	O
optimal	O
solution	O
only	O
if	O
all	O
cross-correlations	O
between	O
the	O
data	O
blocks	O
are	O
zero	O
.	O
</s>
<s>
The	O
gCCA	B-Algorithm
method	O
can	O
be	O
used	O
for	O
finding	O
those	O
harmful	O
common	O
factors	O
that	O
create	O
cross-correlation	O
between	O
the	O
blocks	O
.	O
</s>
