New posts in linear-regression

Best Fit Line with 3d Points

linear-algebra geometry differential-geometry linear-regression

How to get a regression summary in scikit-learn like R does?

python r scikit-learn linear-regression summary

gradient descent using python and numpy

python numpy machine-learning linear-regression gradient-descent

Linear Regression with a known fixed intercept in R

r regression linear-regression lm

Linear regression analysis with string/categorical features (variables)?

python machine-learning regression linear-regression feature-selection

why gradient descent when we can solve linear regression analytically

machine-learning linear-regression gradient-descent

predict.lm() with an unknown factor level in test data

r regression linear-regression lm

How to Loop/Repeat a Linear Regression in R

r loops repeat linear-regression

Two different answers for same expression in C

c linear-regression

What's wrong with solving the least-squares problem here? (Simple question)

convex-optimization least-squares linear-regression

R Conditional Regression with Multiple Conditions

r regression linear-regression

Proof that trace of 'hat' matrix in linear regression is rank of X

linear-algebra matrices statistics linear-regression

Conceptual similarity between the normal equation in linear regression to find best parameters and an orthagonal projection in linear algebra?

linear-algebra linear-regression

R Loop for Variable Names to run linear regression model

r loops linear-regression modeling

Is there a better alternative than string manipulation to programmatically build formulas?

r linear-regression

diagonalising (I-X(X^TX)^-1X^T where X is rank n-k, a square matrix dimension nxn, into a matrix with n-k 1 along the diagonal, and then zeros.

linear-algebra diagonalization trace economics linear-regression

Linear regression with matplotlib / numpy

python numpy matplotlib linear-regression curve-fitting

Fast pairwise simple linear regression between variables in a data frame

r performance regression linear-regression lm

Decomposing $y_n$ into $E(y_n|x_n)+\epsilon_n$. Under what condition is $\epsilon_n=o_p(1)$?

probability statistics conditional-expectation linear-regression

Running lm() errror: Error in xj[i] : invalid subscript type 'list'

r linear-regression glm