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 Implementation of the $\mbox{GPLVM}_+$ model presented in *Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra, ESANN 2024*.
 
-Below we show two examples of how to use the model. The experiments demonstrate the use of the model with a dataset of 72 images that are made available via the package [GPLVMplusData.jl](https://github.com/HITS-AIN/GPLVMplusData.jl). The 72 images are images of a rubber duck photographed from 72 angles, thus they form a latent space that is intrinsically a one-dimensional circle. We show in the experiments below that the model successfully discovers this latent space. 
+Below we show two examples of how to use the model. The experiments demonstrate the use of the model with a dataset of 72 images that are made available via the package [GPLVMplusData.jl](https://github.com/HITS-AIN/GPLVMplusData.jl). These 72 images have been taken from the COIL-20 repository that can be found [here](https://www.cs.columbia.edu/CAVE/software/softlib/coil-20.php). The 72 images are images of a rubber duck photographed from 72 angles, thus they form a latent space that is intrinsically a one-dimensional circle. We show in the experiments below that the model successfully discovers this latent space. 
 
 ## Experiment 1