Jesús Guillermo Andrade wrote:
Dear fellows: This is the problem: I have 5 variables A, B, C, D and E
with a range from 1 to 100 with 0.1 steps. Depending on the different
values these have, the results of the formula change:
alitemp <- ((Abase/llmcc$Clase)*PClase)+(((1/llmcc
$Categoria)*Abase)*PCategoria)+((Abase*llmcc$Phi)*PPhi)+((Abase*llmcc
$Rf)*PRf)
There is no instance of A...E in that formula, is it?
So, alitemp (a 283 element series) changes if any of the P** values
changes. I need to find a combinations of those 5 variables that
approximates the desired results. Although I can make use of a 'for'
loop, Im not sure of how to combine the whole 5 variables changing at
once. I understand there are many possible combinations (factorial of
5000!, 422 with some 500 digits) but I surmise there must be a better
way to do it.
So far, I have been changing them manually, but this task make the
whole thing terribly slow and inneficient.
Any ideas are appreciated.
Thanks.
What do you really want to know? Some prediction for anything? Or just
the time t when 5 variables are changing between t-1 and t?
If the latter, calculate first order differences and check for t where
all 5 first order differences are not equal to zero.
Uwe Ligges
Cuanto mas grande son, mas daño hacen. Postulado de Perkin.
------------------------------
Jesús Guillermo Andrade (Abg.)
Gerente de Litigios y Corporativo. EDM. AC. API.
Andrade & Moreno S.C. (http://amlegal.wordpress.com/)
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