How can I fit a linear regression to 3d points in R

Asked Oct 23 '15 at 12:56

Active Oct 23 '15 at 13:04

Viewed 766 times

So I have a bunch of points with x,y,z coordinates. I can nicely plot them with "gdl"'s or "car"'s scatterplot3d() or catter3d(). But how can I fit a linear model to these points?

Sorry, I tried a lot but can only 2d examples...

This is my data:

slx = c(696630.6, 696631.1, 696631.5, 696631.9)
sly = c(211185.6, 211185.2, 211185.0, 211184.9)
slz = c(1123.324, 1123.419, 1123.483, 1123.571)

this is how I plot

library(car)
scatter3d(slx, sly, slz, axis.scales=FALSE)

edited Oct 23 '15 at 13:04

asked Oct 23 '15 at 12:56

agoldev

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Please consider reading up on [ask] and how to produce a [reproducible example](http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example). – Heroka Oct 23 '15 at 12:58
Well, I don't think that matters for the answer, but ok... – agoldev Oct 23 '15 at 13:02
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just use `lm(y~x+z)` for example – Mamoun Benghezal Oct 23 '15 at 13:02
Thanks alot. That was so(!) useful. – agoldev Oct 23 '15 at 14:05

How can I fit a linear regression to 3d points in R

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