Move cheminfo-types to dev dependencies

package.json

@@ -46,7 +46,6 @@
     "vitest": "^2.1.3"
   },
   "dependencies": {
-    "cheminfo-types": "^1.8.0",
     "ml-matrix": "^6.12.0",
     "ml-regression-base": "^4.0.0"
   }

src/__tests__/index.test.ts

@@ -1,8 +1,7 @@
-import { NumberArray } from 'cheminfo-types';
 import { createRandomArray, xSum } from 'ml-spectra-processing';
 import { expect, it, describe } from 'vitest';
 
-import { PolynomialRegression } from '..';
+import { PolynomialRegression, type NumberArray } from '..';
 
 function assertCoefficientsAndPowers(
   result: PolynomialRegression,

src/index.ts

@@ -1,11 +1,22 @@
-import { type NumberArray } from 'cheminfo-types';
 import { Matrix, MatrixTransposeView, solve } from 'ml-matrix';
 import {
   BaseRegression,
   checkArrayLength,
   maybeToPrecision,
 } from 'ml-regression-base';
 
+export type NumberArray =
+  | number[]
+  | Int8Array
+  | Uint8Array
+  | Uint8ClampedArray
+  | Int16Array
+  | Uint16Array
+  | Int32Array
+  | Uint32Array
+  | Float32Array
+  | Float64Array;
+
 interface PolynomialRegressionOptions {
   interceptAtZero?: boolean;
 }
@@ -13,12 +24,12 @@
   degree: number;
   powers: number[];
   coefficients: number[];
   /**
    * @param x - independent or explanatory variable
    * @param y - dependent or response variable
    * @param degree - degree of the polynomial regression, or array of powers to be used. When degree is an array, intercept at zero is forced to false/ignored.
    * @example `new PolynomialRegression(x, y, 2)`, in this case, you can pass the option `interceptAtZero`, if you need it.
    * @param options
    * @example `new PolynomialRegression(x, y, [1, 3, 5])`
    * Each of the degrees corresponds to a column, so if you have them switched, just do:
    * @example `new PolynomialRegression(x, y, [3, 1, 5])`
@@ -122,14 +133,14 @@
   }
 }
 
 /**
  * Perform a polynomial regression on the given data set.
  * This is an internal function.
  * @param x - independent or explanatory variable
  * @param y - dependent or response variable
  * @param degree - degree of the polynomial regression
  * @param options.interceptAtZero - force the polynomial regression so that $f(0) = 0$
  * @param options
  */
 function regress(
   x: NumberArray,