this is a Java implementation of theNormal Equation Method, applied to Multivariate linear regresion. (Only one feature is provided but we generate more by exponentiation of the one provided: x^2, x^3 ...

3 Python files included. A solution using the normal equation, and two solutions using gradient descent. Of the two gradient descent solutions included, there's an inefficient and more efficient ...

Linear Regression vs. Multiple Regression Example Consider an analyst who wishes to establish a relationship between the daily change in a company's stock prices and daily changes in trading volume .

Abstract: We compared the performance of three widely used linear multivariate methods for autofluorescence spectroscopic tissues differentiation. Principal component analysis (PCA), partial least ...

9.1.4 Interpretation. You should be getting comfortable with the output from statistical packages by now (having used regression in Excel and SAS). The summary function in R starts with a five-number ...

For the case where all multivariate normal parameters are known, we derive a new linear dimension reduction (LDR) method to determine a low-dimensional subspace that preserves or nearly preserves the ...

We compared the performance of three widely used linear multivariate methods for autofluorescence spectroscopic tissues differentiation. Principal component analysis (PCA), partial least squares (PLS) ...