Project.toml

name = "PartialLeastSquaresRegressor"
uuid = "f4b1acfe-f311-436c-bb79-8483f53c17d5"
keywords = ["Partial Least Squares", "machine learning", "artificial intelligence", "Regression", "Multivariate Statistics", "Statistics"]
license = "MIT"
desc = "A Partial Least Squares Regressor package. Contains PLS1, PLS2 and Kernel PLS2 NIPALS algorithms. Can be used mainly for regression."
version = "2.2.0"

[deps]
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

[compat]
MLJModelInterface = "0.3,0.4,1"
julia = "^1"

[extras]
MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
MLJTestInterface = "72560011-54dd-4dc2-94f3-c5de45b75ecd"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test", "Random", "MLJBase", "MLJModels", "MLJTestInterface"]