Developing regression models for predicting pan evaporation from climatic data - A comparison of multiple least-squares, principal components, and partial least-squares approaches

Gicy M. Kovoor*, Lakshman Nandagiri

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Developing regression models for predicting pan evaporation from climatic data - A comparison of multiple least-squares, principal components, and partial least-squares approaches'. Together they form a unique fingerprint.

INIS

Agricultural and Biological Sciences