Spectral retrieval has proven to be a powerful tool for constraining the
physical properties and atmospheric compositions of extrasolar planet
atmospheres from observed spectra, primarily for transiting objects but also
for directly imaged planets and brown dwarfs. Despite its strengths, this
approach has been applied to only about a dozen targets. Determining the
abundances of the main carbon and oxygen-bearing compounds in a planetary
atmosphere can lead to the C/O ratio of the object, which is crucial in
understanding its formation and migration history. We present a retrieval
analysis on the published near-infrared spectrum of {\kappa} And b, a directly
imaged substellar companion to a young B9 star. We fit the emission spectrum
model utilizing a Markov Chain Monte Carlo algorithm. We estimate the abundance
of water vapor, and its uncertainty, in the atmosphere of the object. In
addition, we place an upper limit on the abundance of CH$_4$. We compare
qualitatively our results to studies that have applied model retrieval on
multiband photometry and emission spectroscopy of hot Jupiters (extrasolar
giant planets with orbital periods of several days) and the directly imaged
giant planet HR 8799b.