Restricted Maximum Likelihood (REML) is a statistical method used to estimate variance components in linear mixed models, providing unbiased estimates by maximizing the likelihood of a transformed dataset that removes fixed effects. REML is particularly useful in complex models where traditional maximum likelihood estimation may be biased or inefficient due to the presence of random effects.