an addendum to the article "regularization and variable selection via the elastic net" by hui zou and trevor hastie (2005) in the journal j. r. statist. soc. b, part 5, page 768. the authors note that they missed an important reference in section 3.4. on page 309, they mention that the lasso solution paths are based on the lars algorithm proposed by efron et al. (2004). however, they should have included a reference to osborne et al. (2000), who first proved the piecewise linearity of the lasso solution path and described an efficient algorithm for calculating the complete lasso solution path. the reference is provided, indicating that osborne, m. r., presnell, b., and turlach, b. a. (2000) presented a new approach to variable selection in least squares problems in the iMA journal of numerical analysis, 20, 389–403. this addendum highlights the importance of acknowledging the prior work of osborne et al. in the development of the lasso method.an addendum to the article "regularization and variable selection via the elastic net" by hui zou and trevor hastie (2005) in the journal j. r. statist. soc. b, part 5, page 768. the authors note that they missed an important reference in section 3.4. on page 309, they mention that the lasso solution paths are based on the lars algorithm proposed by efron et al. (2004). however, they should have included a reference to osborne et al. (2000), who first proved the piecewise linearity of the lasso solution path and described an efficient algorithm for calculating the complete lasso solution path. the reference is provided, indicating that osborne, m. r., presnell, b., and turlach, b. a. (2000) presented a new approach to variable selection in least squares problems in the iMA journal of numerical analysis, 20, 389–403. this addendum highlights the importance of acknowledging the prior work of osborne et al. in the development of the lasso method.