Obtaining equations with 3D graph

This is what I'm trying to do but I'm not too certain whether it's doable in Labivew or not.
Basically I have a program which collects bunch data points and insert them into arrays.
The 3 sets of arrays I have are:
Water Weight
Water Ratio
Reflectivities
Basically there are 1 WW and 1 WR array for each reflectivity. (ie. for 10% reflectivity there's a 1D WW array and a 1D WR array). So really the reflectivity array is just some constant numbers used for the sake of implementing the 3D graph.
I want to plot these arrays in a 3D graph. Right now I'm using 3D parametric graph instead of 3D surface graph b/c surface graph doesn't seem to work with the restriction of 2x 1D array and 1x 2D matrix. (Unless someone has a suggestion?)
I managed to plot the data points on the parametric graph. Basically if you plot the WW and WR in 2D you get a polynomial curve. So in 3D you get a surface of bunch polynomial curves.
Now what I want to do is able to select a specific reflectivity value on this 3D surface and get an equation for this particular polynomial curve at this reflectivity. Is this doable in Labivew at all? Helps would be much much appreciated. Thanx.

Wow thanx for the fast responses. I really appreciate it.
Ok let me explain the program a little bit. Basically "Read Grid" moves a computerized linear stage system so the program can collect data at different parts of the sample. The sample is placed on a plate which holds 8 different reflectivity backings (2%-99%) and an empty slot. The sample is wetted and dries up as time goes by. The program collects the sample weight and the measurement data, does some calculation to spit out WW and WR. Since there are 9 different reflectivities I have each WW and WR saved in arrays (so 18 arrays in total).
When the program is done one can analyze the data by clicking "Fit Data." Basically this sub-vi plots the 9 sets of data, does polynomial fits to each and finds the polynomial constants for each reflectivity.
Now it's necessary to be able to predict polynomial constants within the 2%-99% range (for example, say we want 13%). This is why I need to be able to plot a 3D surface/parametric graph, select the reflectivity value I want, and find out the polynomial constants for that specific reflectivity value. Basically you would have a surface that looks something like this:
http://www.leeds.ac.uk/iss/documentation/beg/beg28/beg2802.gif
So yeah the VI I attached previously doesn't have the right surface look.
Here's the screenshot for Read Grid.vi while it's running. Note, the data are kinda nonesense right now:
http://photobucket.com/albums/y218/Tawcan/?action=view&current=screenshot.jpg
Here's the screenshot for plotting 2D graph and finding polynomial constants:
http://photobucket.com/albums/y218/Tawcan/?action=view&current=screenshot1.jpg
I've attached a sample data text file so you would have an idea.
Attachments:
Avg Data.txt ‏3 KB

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