feat: add MultivariateLinearRegression

Author: targos

package.json

@@ -47,6 +47,7 @@
     "ml-kernel": "^2.0.0",
     "ml-matrix": "^3.0.0",
     "ml-regression-exponential": "^1.0.0",
+    "ml-regression-multivariate-linear": "^1.0.0",
     "ml-regression-polynomial": "^1.0.0",
     "ml-regression-power": "^1.0.0",
     "ml-regression-robust-polynomial": "^1.0.0",

src/index.js

@@ -4,13 +4,13 @@ exports.SimpleLinearRegression = exports.SLR = require('ml-regression-simple-lin
 exports.PolynomialRegression = require('ml-regression-polynomial').default;
 exports.ExponentialRegression = require('ml-regression-exponential').default;
 exports.PowerRegression = require('ml-regression-power').default;
+exports.MultivariateLinearRegression = require('ml-regression-multivariate-linear').default;
 
 exports.NonLinearRegression = exports.NLR = {
     PotentialRegression: require('./regression/potential-regression')
 };
 exports.KernelRidgeRegression = exports.KRR = require('./regression/kernel-ridge-regression');
 //exports.MultipleLinearRegression = exports.MLR = require('./regression/multiple-linear-regression');
-//exports.MultivariateLinearRegression = exports.MVLR = require('./regression/multivariate-linear-regression');
 exports.PolinomialFitting2D = require('./regression/poly-fit-regression2d');
 
 // robust regressions

src/regression/multivariate-linear-regression.js

@@ -827,6 +827,13 @@ ml-regression-exponential@^1.0.0:
     ml-regression-base "^1.1.1"
     ml-regression-simple-linear "^1.0.1"
 
+ml-regression-multivariate-linear@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/ml-regression-multivariate-linear/-/ml-regression-multivariate-linear-1.0.0.tgz#dffa255e5a344e599f379895125d2b737d3750fd"
+  dependencies:
+    ml-matrix "^3.0.0"
+    ml-regression-base "^1.2.0"
+
 ml-regression-polynomial@^1.0.0:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/ml-regression-polynomial/-/ml-regression-polynomial-1.0.2.tgz#10fde6550d4a9a887e5628628a5027323e0ff7ee"