I was investigating some methods to perform least squares algorithms, and I noticed we currently do not have methods of doing so in the development branch.
To the extent of my knowledge, we also do not have a method of determining matrix inverses or pseudoinverse. All of the existing implementations I found (e.g. rTensor) of CP decomposition have a method of determining a matrix's pseudoinverse.
For GSoC, I initially based my proposal around implementing tensor decomposition algorithms. However, would it be a better choice to focus more on least squares methods like QR-factorization” And SVD? Furthermore, was this already attempted in a past GSoC project?