Changing RGB data from 8 to 16 bits

[matismatis]

I have created a point cloud dataset from a forest canopy, saved as a LAS file. I am trying to analyze it using the lidR package on Rstudio, to segmentate individual tree crowns. I know that the package was created for lidar data, but I hope I can also analyze LAS files created with orthography.
After running the package using my LAS files created by WEBODM, I get several errors.

las <- lidR::readLAS(''lasfiles'')
Warning message:
Invalid data: RGB colors are recorded on 8 bits instead of 16 bits.

Further errors which I want to resolve later:
Error in plot.window(…) : need finite ‘ylim’ values
In addition: Warning messages:
1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
2: In min(x) : no non-missing arguments to min; returning Inf
3: In max(x) : no non-missing arguments to max; returning -Inf

Does anyone know how to change the RGB colors to 16 bit? Or is there a way to remove colors, to only create point clouds without color data?
Thank you very much, please let me know if I didn’t properly describe my problem.

LAS dataset used

Best regards,
Matis

[Jean-Romain]

You can keep your data 8 bits. But when you are working with these data using lidR data you must pay attention to this fact. Expect plot(las, color = "RGB") I don't think there is other function that are processing RGB natively so it is not a big deal.