[TABLE="width: 500"]
<tbody>[TR]
[TD]Dependent (f)
[/TD]
[TD]Independent 1 (x)
[/TD]
[TD]Independent 2 (y)
[/TD]
[/TR]
[TR]
[TD]54
[/TD]
[TD]16
[/TD]
[TD]2
[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]14
[/TD]
[TD]46
[/TD]
[/TR]
[TR]
[TD]89
[/TD]
[TD]95
[/TD]
[TD]9
[/TD]
[/TR]
[TR]
[TD]53
[/TD]
[TD]26
[/TD]
[TD]64
[/TD]
[/TR]
[TR]
[TD]56
[/TD]
[TD]50
[/TD]
[TD]22
[/TD]
[/TR]
[TR]
[TD]44
[/TD]
[TD]23
[/TD]
[TD]35
[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]45
[/TD]
[TD]41
[/TD]
[/TR]
[TR]
[TD]48
[/TD]
[TD]69
[/TD]
[TD]5
[/TD]
[/TR]
[TR]
[TD]74
[/TD]
[TD]84
[/TD]
[TD]49
[/TD]
[/TR]
</tbody>[/TABLE]
Hello,
I a looking for a way to create a curve based on multiple independent variables. The result should be a function of those variable, f(x,y,...,z). For example, if I have the above dataset, is there a function similar to linest that can generate the best fit curve to produce something like:
f(x,y) = a * x^b + c * y^d
or
f(x,y) = a * x^b * y^c
?
I'm currently interested in generating power series functions, so I have a used those as output examples. But I'm interested in being able to create all types of multiple variable functions from a given dataset.
I've used linest in the past for single independent variable functions, but I can't seem to find anything to work with multiple variables.
Thanks!
<tbody>[TR]
[TD]Dependent (f)
[/TD]
[TD]Independent 1 (x)
[/TD]
[TD]Independent 2 (y)
[/TD]
[/TR]
[TR]
[TD]54
[/TD]
[TD]16
[/TD]
[TD]2
[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]14
[/TD]
[TD]46
[/TD]
[/TR]
[TR]
[TD]89
[/TD]
[TD]95
[/TD]
[TD]9
[/TD]
[/TR]
[TR]
[TD]53
[/TD]
[TD]26
[/TD]
[TD]64
[/TD]
[/TR]
[TR]
[TD]56
[/TD]
[TD]50
[/TD]
[TD]22
[/TD]
[/TR]
[TR]
[TD]44
[/TD]
[TD]23
[/TD]
[TD]35
[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]45
[/TD]
[TD]41
[/TD]
[/TR]
[TR]
[TD]48
[/TD]
[TD]69
[/TD]
[TD]5
[/TD]
[/TR]
[TR]
[TD]74
[/TD]
[TD]84
[/TD]
[TD]49
[/TD]
[/TR]
</tbody>[/TABLE]
Hello,
I a looking for a way to create a curve based on multiple independent variables. The result should be a function of those variable, f(x,y,...,z). For example, if I have the above dataset, is there a function similar to linest that can generate the best fit curve to produce something like:
f(x,y) = a * x^b + c * y^d
or
f(x,y) = a * x^b * y^c
?
I'm currently interested in generating power series functions, so I have a used those as output examples. But I'm interested in being able to create all types of multiple variable functions from a given dataset.
I've used linest in the past for single independent variable functions, but I can't seem to find anything to work with multiple variables.
Thanks!